Template-Type: ReDIF-Article 1.0
Author-Name: Elia Oey
Author-X-Name-First: Elia
Author-X-Name-Last: Oey
Author-Name: Williem Artono Wijaya
Author-X-Name-First: Williem Artono
Author-X-Name-Last: Wijaya
Author-Name: Scherly Hansopaheluwakan
Author-X-Name-First: Scherly
Author-X-Name-Last: Hansopaheluwakan
Title: Forecasting and aggregate planning application – a case study of a small enterprise in Indonesia
Abstract:
A good and interconnected demand and supply planning (D%SP) is essential for firms, as it will give better allocation of resource and enabler to stay competitive. The basic and simple applications of D%SP are forecasting and aggregate planning which mainly used in big corporations, but less in small and medium enterprises. The research was a case study in a small firm in Indonesia, which started as small and family-owned company, but can enjoy the benefit of simple demand and supply planning to enhance its cost and productivity. Despite main application of D%SP in every production environment, no vast research has been done in the last couple of decades. The study and the case are thus, a refreshment on how application of D%SP still relevant. The case study examined seven common forecasting tools for demand planning side and exercised classical chase and level aggregate planning strategy for the supply planning side. It explored three possible scenarios and recommended a better scenario with 3% cost saving for the company.
Journal: Int. J. of Process Management and Benchmarking
Pages: 1-21
Issue: 1
Volume: 10
Year: 2020
Keywords: demand planning; supply planning; demand and supply planning; D%SP; aggregate planning; forecasting; small enterprise; Indonesia.
File-URL: http://www.inderscience.com/link.php?id=104229
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:1:p:1-21
Template-Type: ReDIF-Article 1.0
Author-Name: Tushar Jain
Author-X-Name-First: Tushar
Author-X-Name-Last: Jain
Author-Name: Meenu
Author-X-Name-First:
Author-X-Name-Last: Meenu
Author-Name: H.K. Sardana
Author-X-Name-First: H.K.
Author-X-Name-Last: Sardana
Title: Quality edge extraction of mechanical CAD parts for intelligent manufacturing
Abstract:
Computer aided testing (CAT) is the latest technique. It is because CAT involve in a different stages of manufacturing like designing, production and quality control by 3D measuring instrument that is time consuming. If the object position is known before examined, time can be managed. Machine vision dependent inspection of mechanical CAD parts has become demanding area in the field of industrial inspection. In this work, we developed the procedure to detect the mechanical CAD parts with the edge-based algorithms. The data has been taken with 3D model that has been designed using solid edge ST8 CAD/CAM PLM software and analysed using MATLAB for automated production checking system. Our proposed method uses the edge-based recognition of CAD object by fuzzy-based approach in order to create image information of shape before it can be used for pose estimation in computer aided testing system. From the experimental results, it has been found that with the proposed vision system more accurate and reliable products can be manufactured intelligently.
Journal: Int. J. of Process Management and Benchmarking
Pages: 22-47
Issue: 1
Volume: 10
Year: 2020
Keywords: computer aided testing; CAT; machine vision; image processing; CAD/CAM; fuzzy logic; intelligent manufacturing; edge extraction; STL format.
File-URL: http://www.inderscience.com/link.php?id=104230
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:1:p:22-47
Template-Type: ReDIF-Article 1.0
Author-Name: Sayyed Mohsen Allameh
Author-X-Name-First: Sayyed Mohsen
Author-X-Name-Last: Allameh
Author-Name: Masoud Kiani Khozani
Author-X-Name-First: Masoud Kiani
Author-X-Name-Last: Khozani
Author-Name: Behzad Baniasadi
Author-X-Name-First: Behzad
Author-X-Name-Last: Baniasadi
Title: Consequences of knowledge processes in small businesses: the role of knowledge acquisition, dynamic capabilities, knowledge sharing and creativity
Abstract:
Creativity has found a leading strategic position in service industries, and companies have increasingly implemented knowledge management practices and dynamic capabilities in their organisations over the past decade. Realising the importance of knowledge acquisition from social media, knowledge sharing, and dynamic capabilities in employee creativity, we have made an attempt in this research to propose a conceptual framework. Drawing from the organisational behaviour literature, we hypothesise and test the relationship among knowledge acquisition, dynamic capabilities, knowledge sharing and employee creativity. We performed a structural equation model (SEM) test with maximum likelihood estimation to test the relationship among the research variables with a sample of 293 participants. The empirical results from the structural model suggest that knowledge acquisition positively influences both dynamic capabilities and knowledge sharing, and knowledge sharing has a direct effect on dynamic capabilities. Furthermore, dynamic capabilities and knowledge sharing were shown to be direct antecedents of employee creativity.
Journal: Int. J. of Process Management and Benchmarking
Pages: 48-68
Issue: 1
Volume: 10
Year: 2020
Keywords: knowledge processes; innovation; creativity; social media; knowledge acquisition; dynamic capabilities; knowledge sharing; small businesses.
File-URL: http://www.inderscience.com/link.php?id=104231
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:1:p:48-68
Template-Type: ReDIF-Article 1.0
Author-Name: Chandra Shekhar
Author-X-Name-First: Chandra
Author-X-Name-Last: Shekhar
Author-Name: Amit Kumar
Author-X-Name-First: Amit
Author-X-Name-Last: Kumar
Author-Name: Shreekant Varshney
Author-X-Name-First: Shreekant
Author-X-Name-Last: Varshney
Title: Parametric nonlinear programming for fuzzified queuing systems with catastrophe
Abstract:
The concept of catastrophe, happening at random and leading to force to abandon all present customers, data, machines immediately and the instantly inoperative of the service facilities until a new arrival of the customer is not uncommon in many practical problems of the computer and communication systems. In this research article, we present a process to frame the membership function of queuing system' characteristics of the classical single server <i>M</i>/<i>M</i>/1 fuzzy queuing model having fuzzified exponentially distributed inter-arrival time and service time with fuzzy catastrophe. We employ the <i>α</i>-cut approach to transform fuzzy queues into a family of the conventional crisp intervals for the queuing characteristics which are computed with a set of the parametric nonlinear program using their membership functions. We employ basic fuzzy arithmetic fundamental, Zadeh's extension principle, Yager's ranking index to establish fuzzy relation among different rates and to compute corresponding defuzzify values.
Journal: Int. J. of Process Management and Benchmarking
Pages: 69-98
Issue: 1
Volume: 10
Year: 2020
Keywords: fuzzy sets; α-cut; FM/FM/1 queuing system; catastrophe.
File-URL: http://www.inderscience.com/link.php?id=104233
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:1:p:69-98
Template-Type: ReDIF-Article 1.0
Author-Name: Kasinath Das Mohapatra
Author-X-Name-First: Kasinath Das
Author-X-Name-Last: Mohapatra
Author-Name: Mantra Prasad Satpathy
Author-X-Name-First: Mantra Prasad
Author-X-Name-Last: Satpathy
Author-Name: Susanta Kumar Sahoo
Author-X-Name-First: Susanta Kumar
Author-X-Name-Last: Sahoo
Title: Optimisation of WEDM parameters in a gear cutting process using MOORA-based GA
Abstract:
The present paper deals with multi objective optimisation of wire EDM process parameters in a gear cutting process of titanium alloy grade 5 using MOORA-based GA methodology. The objective of the present research is to optimise the response parameters using hybrid technique for a gear tooth in order to obtain an optimised setting and to study the effect of process parameters on the output responses. In the present study, combii wire (brass with diffused zinc) of 0.25 mm diameter was machined with a 2 mm thickness of titanium plate in the shape of a gear. The process was carried out using full factorial design of experiments having 81 combinations. ANOVA table reveals that pulse on time and wire feed rate are the significant process parameters affecting the responses in WEDM process. The optimised setting obtained can be further used to produce high quality miniature gears.
Journal: Int. J. of Process Management and Benchmarking
Pages: 99-131
Issue: 1
Volume: 10
Year: 2020
Keywords: analysis of variance; ANOVA; brass; full factorial; gear; MOORA; titanium; pulse on time; wire EDM; wire feed rate.
File-URL: http://www.inderscience.com/link.php?id=104234
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:1:p:99-131
Template-Type: ReDIF-Article 1.0
Author-Name: Anurag Shashwat
Author-X-Name-First: Anurag
Author-X-Name-Last: Shashwat
Author-Name: Deepak Kumar
Author-X-Name-First: Deepak
Author-X-Name-Last: Kumar
Title: Service identification by enhanced K-mean algorithm in service-oriented architecture
Abstract:
Service identification with right level of granularity is the most critical aspect in service oriented architecture. Service identification is challenging due to several reasons such as lack of reuse of services, lack of right decision to choose the appropriate service. SOA-based project uses large repository, where in services are stored randomly in the repository. This causes considerable amount of search time when service is searched from the database. In case of trigger-based application, current service storage process will not be much effective due to inadequacy in service level agreement. In this regard, the author(s) explored the possibilities of service identification using k-means clustering which will reduce search time, service replication and increase the performance and reliability of the service. Proposed model has been experimentally validated and author(s) found significant decrease in service search time. This model will be helpful in building the applications with minimum service level agreement.
Journal: Int. J. of Process Management and Benchmarking
Pages: 132-146
Issue: 1
Volume: 10
Year: 2020
Keywords: service-oriented architecture; K-mean; service identification; cluster.
File-URL: http://www.inderscience.com/link.php?id=104237
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:1:p:132-146
Template-Type: ReDIF-Article 1.0
Author-Name: Atul Kumar Sahu
Author-X-Name-First: Atul Kumar
Author-X-Name-Last: Sahu
Author-Name: Harendra Kumar Narang
Author-X-Name-First: Harendra Kumar
Author-X-Name-Last: Narang
Author-Name: Mridul Singh Rajput
Author-X-Name-First: Mridul Singh
Author-X-Name-Last: Rajput
Title: A novel approach for benchmarking maintenance based on fuzzy reliability index for the replacement of street lights under uncertainty
Abstract:
In this study, the authors consider the context of products whose component failures cannot be rectified through repair actions, but can only be fixed by replacement. The authors developed a cost effective decision model based on reliability for the replacement of street lights. The replacement policy for benchmarking maintenance time based on fuzzy reliability index, which can grab uncertainty, is proposed in this study. The study determined the link amongst individual replacement and the group replacement policies by defining the economic instant for replacing street lights. A decision support model incorporating uncertainty and impreciseness is presented to estimate prior maintenance efforts. The individual and the group replacement policies are exposed by housing a subjective theoretical framework and explained with a numerical procedure to illustrate the applicability of the proposed approach. The study provides valuable insight for using the real time information for designing a replacement model using fuzzy logic.
Journal: Int. J. of Process Management and Benchmarking
Pages: 177-195
Issue: 2
Volume: 10
Year: 2020
Keywords: maintenance; generalised trapezoidal fuzzy number set; GTFNs; replacement; uncertainty; economic life; reliability.
File-URL: http://www.inderscience.com/link.php?id=106138
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:2:p:177-195
Template-Type: ReDIF-Article 1.0
Author-Name: J. Radha
Author-X-Name-First: J.
Author-X-Name-Last: Radha
Author-Name: K. Indhira
Author-X-Name-First: K.
Author-X-Name-Last: Indhira
Author-Name: V.M. Chandrasekaran
Author-X-Name-First: V.M.
Author-X-Name-Last: Chandrasekaran
Title: Analysis of M[X]/Gk/1 retrial queue with Bernoulli-2 vacation, search for customers and hot stand-by
Abstract:
A batch arrival retrial queueing model with <i>k</i> optional stages of service, extended Bernoulli vacation and stand-by is studied. After completion of the <i>i</i><SUP align="right"><SMALL>th</SMALL></SUP> stage of service, the customer may have the option to choose (<i>i</i> + 1)<SUP align="right"><SMALL>th</SMALL></SUP> stage of service with probability <i>θ<SUB align="right"><SMALL>i</SMALL></SUB></i> or may leave the system with probability <i>q<SUB align="right"><SMALL>i</SMALL></SUB></i> = 1 − <i>θ<SUB align="right"><SMALL>i</SMALL></SUB></i>, <i>I</i> = 1, 2, …, <i>k</i> − 1 and <i>q<SUB align="right"><SMALL>k</SMALL></SUB></i> = 1. After service completion of each customer, the server may take a vacation with probability <i>v</i><SUB align="right"><SMALL>1</SMALL></SUB> and extend a vacation with probability <i>v</i><SUB align="right"><SMALL>2</SMALL></SUB> or rejoin the system after the first vacation with probability 1 − <i>v</i><SUB align="right"><SMALL>2</SMALL></SUB>. Busy server may get to breakdown and the stand-by server provides service only during the repair times. At the completion of service, vacation or repair, the server searches for the customer in the orbit (if any) with probability <i>α</i> or remains idle with probability 1 − <i>α</i>. By using the supplementary variable method, steady state probability generating function for system size, some system performance measures like <i>L<SUB align="right"><SMALL>q</SMALL></SUB></i>, <i>L<SUB align="right"><SMALL>s</SMALL></SUB></i>, <i>W<SUB align="right"><SMALL>q</SMALL></SUB></i> and <i>W<SUB align="right"><SMALL>s</SMALL></SUB></i> are discussed. Simulation results are given using MATLAB.
Journal: Int. J. of Process Management and Benchmarking
Pages: 196-223
Issue: 2
Volume: 10
Year: 2020
Keywords: retrial; k-optional service; orbital search; standby; extended vacation; supplementary variable technique.
File-URL: http://www.inderscience.com/link.php?id=106139
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:2:p:196-223
Template-Type: ReDIF-Article 1.0
Author-Name: M.B. Fakhrzad
Author-X-Name-First: M.B.
Author-X-Name-Last: Fakhrzad
Author-Name: H. Hasanzadeh
Author-X-Name-First: H.
Author-X-Name-Last: Hasanzadeh
Title: A new mathematical modelling for relief operation based on stochastic programming
Abstract:
The number of natural disasters and the people affected by them has increased over recent years. In the last two decades, the field of disaster management and humanitarian logistics has earned more attention. Design of relief logistic network as a strategic decision and relief distribution as an operational decision are the most important activities for disaster operation management before and after a disaster. Since related information can be updated after disaster, we consider a relief helicopter to satisfy the lack of inventory in different depots. In the proposed mathematical model, pre-disaster decisions are determined according to different scenarios in a two stage optimisation scheme. Moreover, we present a meta-heuristic algorithm based on particle swarm optimisation (PSO) as a solution method. Finally, the model for two stages of disaster management is established for several instances. Computational results based on three approaches confirm that the proposed model has proper performance.
Journal: Int. J. of Process Management and Benchmarking
Pages: 224-239
Issue: 2
Volume: 10
Year: 2020
Keywords: disaster management; scenario-based; relief distribution; facility location problem.
File-URL: http://www.inderscience.com/link.php?id=106141
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:2:p:224-239
Template-Type: ReDIF-Article 1.0
Author-Name: Ashwin B. Ganorkar
Author-X-Name-First: Ashwin B.
Author-X-Name-Last: Ganorkar
Author-Name: Ramesh R. Lakhe
Author-X-Name-First: Ramesh R.
Author-X-Name-Last: Lakhe
Author-Name: Kamalkishor N. Agrawal
Author-X-Name-First: Kamalkishor N.
Author-X-Name-Last: Agrawal
Title: Productivity and profitability of process industry using TDABC: a case study
Abstract:
The global competition in the international market is forcing industries to increase the productivity and profitability. Time driven activity based costing (TDABC) is a newly developed approach in the field of cost accounting. Companies are more interested in increasing productivity and profitability rather than assigning the cost on the product. This paper presents an approach to estimate the cost of process industry using TDABC and how it is useful in increasing productivity and profitability. The approach is explained with the help of a case study in the process industry. The results indicate that TDABC provides useful information for identifying the areas for improving the productivity of the industry and its effect on profitability. This paper also discusses how TDABC helps in taking the decisions for improving productivity and profitability.
Journal: Int. J. of Process Management and Benchmarking
Pages: 240-260
Issue: 2
Volume: 10
Year: 2020
Keywords: TDABC; process industry; productivity; profitability.
File-URL: http://www.inderscience.com/link.php?id=106142
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:2:p:240-260
Template-Type: ReDIF-Article 1.0
Author-Name: J. Krishnaraj
Author-X-Name-First: J.
Author-X-Name-Last: Krishnaraj
Author-Name: S. Thiagarajan
Author-X-Name-First: S.
Author-X-Name-Last: Thiagarajan
Title: A two-phase simulated annealing algorithm to minimise the completion time variance of jobs in flowshops
Abstract:
In this paper, simulated annealing (SA) algorithm is employed to solve the flowshop scheduling problem with the objective of minimising the completion time variance (CTV) of jobs. Four variants of the two-phase SA algorithm (SA-I to SA-IV) are proposed to solve flowshop scheduling problem with the objective of minimising the CTV of jobs without considering the right shifting of completion time of jobs on the last machine. The proposed SA algorithms have been tested on 90 benchmark flowshop scheduling problems. The solutions yielded by the proposed SA variants are compared with the best CTV of jobs reported in the literature, and the proposed SA-III is found to perform well in minimising the chosen performance measure (CTV) particularly in medium and large size problems.
Journal: Int. J. of Process Management and Benchmarking
Pages: 261-281
Issue: 2
Volume: 10
Year: 2020
Keywords: scheduling; permutation flowshop; simulated annealing algorithm; completion time variance; CTV.
File-URL: http://www.inderscience.com/link.php?id=106143
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:2:p:261-281
Template-Type: ReDIF-Article 1.0
Author-Name: Harendra Kumar
Author-X-Name-First: Harendra
Author-X-Name-Last: Kumar
Author-Name: Shailendra Giri
Author-X-Name-First: Shailendra
Author-X-Name-Last: Giri
Title: A neural network-based algorithm for flow shop scheduling problems under fuzzy environment
Abstract:
Scheduling is a very complex but important problem in the real world environment applications. Production scheduling with the objective of minimising the makespan is an important task in manufacturing systems. For most scheduling problems studied so far, the processing time of each job on each machine has been assumed as a real number. However in real world applications the processing time is often imprecise which means the processing time may vary dynamically because of some human factor or operating faults. This paper considers an n jobs and m machines flow shop scheduling problem of minimising the makespan. In this work fuzzy numbers are used to represent the processing times in the flow shop scheduling. Fuzzy and neural network-based concepts are applied to the flow shop scheduling problems to determine an optimal job sequence with the objective of minimising the makespan. The performance of our proposed hybrid model is compared with the existing methods selected from different papers. Some problems are solved with the present method and it is found suitable and workable in all the cases. A comparison of our present method with the existing methods is also provided in this work.
Journal: Int. J. of Process Management and Benchmarking
Pages: 282-296
Issue: 2
Volume: 10
Year: 2020
Keywords: flow shop scheduling; sequence; fuzzy number; defuzzification; artificial neural network; ANN; makespan.
File-URL: http://www.inderscience.com/link.php?id=106144
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:2:p:282-296
Template-Type: ReDIF-Article 1.0
Author-Name: V. Raja Sreedharan
Author-X-Name-First: V. Raja
Author-X-Name-Last: Sreedharan
Author-Name: Rajeev Trehan
Author-X-Name-First: Rajeev
Author-X-Name-Last: Trehan
Author-Name: M. Dhanya
Author-X-Name-First: M.
Author-X-Name-Last: Dhanya
Author-Name: P. Arunprasad
Author-X-Name-First: P.
Author-X-Name-Last: Arunprasad
Title: Lean Six Sigma implementation in an OEM: a case-based approach
Abstract:
Lean Six Sigma (LSS) is a successful quality improvement program. However, many pieces of literature have reported that companies have struggled with LSS projects and Indian manufacturing firms are no exception to this scenario. Therefore, this article describes LSS implementation at a manufacturing company. The company manufactures power take off (PTO) shafts for tractors. Nevertheless, the company was receiving high non-conformance resulting in part rejection. Therefore, the study deals with the defect reduction through LSS implementation. Using the DMAIC approach with suitable tools, statistical analyses were performed to identify the bottleneck in the operations, and the corrective measure was taken to improve the quality of PTO. In addition, the researchers proposed preventive methods for reoccurring issues and developed a plan to sustain the project to find the required results. At the end of the project, the researchers yielded considerable cost saving and defect reduction. The study concludes with the managerial implications and contribution to the society with the limitations of the study.
Journal: Int. J. of Process Management and Benchmarking
Pages: 147-176
Issue: 2
Volume: 10
Year: 2020
Keywords: Lean Six Sigma; LSS; force field analysis; cost savings; process improvement.
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:2:p:147-176
Template-Type: ReDIF-Article 1.0
Author-Name: Medoh Chuks Nnamdi
Author-X-Name-First: Medoh Chuks
Author-X-Name-Last: Nnamdi
Author-Name: Arnesh Telukdarie
Author-X-Name-First: Arnesh
Author-X-Name-Last: Telukdarie
Title: Enhancing enterprise resource planning and manufacturing execution system efficiency: a simulation-based decision support approach
Abstract:
Business units conduct activities based on business processes. Systems currently exists at various levels of the business. Systems, inclusive of enterprise resource planning, manufacturing execution systems and plant systems has been adopted by larger corporates in executing and optimising business functions. These large businesses are described as complex entities with complex business structures inclusive of business processes. The quantification of automation, escalations and critical variables of these business processes has not been effectively conducted. This research focuses on the development, and configuration, of a simulation model for modelling enterprise maturity via business processes. This research approach includes hierarchical layout exploring these enterprise operations adopting business process tools, techniques, and methodologies aligned with a systems thinking approach. A simulation framework is configured and tested. The results indicate that interdependent processes can be modelled together by determining impacts of multiple critical variables in minimising business process execution times.
Journal: Int. J. of Process Management and Benchmarking
Pages: 297-320
Issue: 3
Volume: 10
Year: 2020
Keywords: simulation-based approach; manufacturing execution system; enterprise resource planning; ERP; plant systems; business process optimisation; systems thinking.
File-URL: http://www.inderscience.com/link.php?id=107934
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:3:p:297-320
Template-Type: ReDIF-Article 1.0
Author-Name: Alan D. Smith
Author-X-Name-First: Alan D.
Author-X-Name-Last: Smith
Author-Name: Amber A. Smith-Ditizio
Author-X-Name-First: Amber A.
Author-X-Name-Last: Smith-Ditizio
Author-Name: Walter R. Kendall
Author-X-Name-First: Walter R.
Author-X-Name-Last: Kendall
Title: Fantasy sports' outcomes as controversial issues from a gender perspective
Abstract:
The purpose of this paper is to explore and test certain assumptions concerning the fantasy sports industry as an enabler for quick, accurate, and descriptive information to its fan from a gender perspective. However, there are distinct disadvantages that seriously active user may have on sports fantasy gambling addiction and excessive wagering may have on society in general and this study should help provide a base line for future studies. It was found that those male professionals who were intensely engaged fantasy sports respondents and who spent considerable amount of money on fantasy leagues, found fantasy guides, expert opinions, and related information helpful in changing rosters, and were intensive users of mobile technology for personal use were significant and negatively related to the dependent variables, with significant gender differences. Such respondents did not perceive there was a global concern for fantasy gambling activities, although a considerable portion of the sample felt otherwise.
Journal: Int. J. of Process Management and Benchmarking
Pages: 321-349
Issue: 3
Volume: 10
Year: 2020
Keywords: customer relations management; empirical; fantasy sports; gender; information technology; market strategy.
File-URL: http://www.inderscience.com/link.php?id=107935
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:3:p:321-349
Template-Type: ReDIF-Article 1.0
Author-Name: Vineet Jain
Author-X-Name-First: Vineet
Author-X-Name-Last: Jain
Author-Name: Tilak Raj
Author-X-Name-First: Tilak
Author-X-Name-Last: Raj
Title: Optimisation of cutting force using metaheuristics
Abstract:
The significance of this research is to optimise the cutting force in turning by optimising the cutting parameters like cutting speed, feed, and depth of cut. Cutting force is one of the essential characteristic variables to be watch and controlled in the cutting processes to optimise tool life and surface roughness of the workpiece. The principal presumption was that the cutting forces increase due to the wearing of the tool. Cutting force is optimised by the metaheuristic, i.e., genetic algorithm (GA) and teaching-learning based optimisation (TLBO) algorithm. The analysis of the result shows that the optimal combination for low resultant cutting force is low cutting speed, low feed and low depth of cut. This study finds that by adjusting machining parameters, tool life can be enhanced because cutting forces increase due to the wearing of the tool. So, cutting forces have been used to maximise the tool life because cutting force increased rapidly as tool life finished. As a result, the production cost can be minimised and be extending the tool usage and subsequently, the machining time is reduced, and the tool usage can be extended.
Journal: Int. J. of Process Management and Benchmarking
Pages: 350-366
Issue: 3
Volume: 10
Year: 2020
Keywords: optimisation; cutting force; tool life; metaheuristics; genetic algorithm; GA; teaching-learning based optimisation; TLBO.
File-URL: http://www.inderscience.com/link.php?id=107936
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:3:p:350-366
Template-Type: ReDIF-Article 1.0
Author-Name: Sanjay Kumar
Author-X-Name-First: Sanjay
Author-X-Name-Last: Kumar
Author-Name: Vasdev Malhotra
Author-X-Name-First: Vasdev
Author-X-Name-Last: Malhotra
Author-Name: Vikas Kumar
Author-X-Name-First: Vikas
Author-X-Name-Last: Kumar
Title: To find the suitability of CMS in Indian industries in comparison of other manufacturing system using AHP technique
Abstract:
The cellular manufacturing (CM) is a well known manufacturing technology that helps to improve manufacturing flexibility and productivity by maximum utilisation of available resources. Cellular manufacturing (CM) has been derived as a strong tool for increasing production in batches and job shop production. In cellular manufacturing, similar machines are grouped in machine cells and same processing parts are gathered in part families. In this paper factors of CMS are identified through AHP technique. The analytic hierarchy process (AHP) is a theory of measurement through pairwise comparisons and depends on the decision of experts to find out priority scales. The derived priority scales are synthesised by multiplying them by the priority of their parent nodes and adding for all such nodes. In this paper, a decision-making model is being proposed for CMS evaluation and selection. This strategic decision-making model is based on both hypothetical and factual criteria and uses the analytical hierarchy process (AHP) approach.
Journal: Int. J. of Process Management and Benchmarking
Pages: 367-381
Issue: 3
Volume: 10
Year: 2020
Keywords: analytic hierarchy process; AHP; cellular manufacturing system; CMS.
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:3:p:367-381
Template-Type: ReDIF-Article 1.0
Author-Name: Mohsen Vaez-Ghasemi
Author-X-Name-First: Mohsen
Author-X-Name-Last: Vaez-Ghasemi
Author-Name: Mohammad Taleghani
Author-X-Name-First: Mohammad
Author-X-Name-Last: Taleghani
Author-Name: Mohsen Shafieyan
Author-X-Name-First: Mohsen
Author-X-Name-Last: Shafieyan
Title: A model for operational budgeting by the application of interpretive structural modelling approach: a case of Saipa Investment Group Co.
Abstract:
The operational budgeting system is a managerial system considered by governments at national and local levels for improving the efficiency and effectiveness of the resource consumption in organisations. The present research was aimed to present a model of operational budgeting based on interpretive structural modelling (ISM) in Saipa Co. So, 46 factors underpinning operational budgeting were identified by literature review, experts were surveyed to derive the most important factors resulting in 14 factors, and an ISM-based structured matrix questionnaire was designed to find out the interrelations of these factors. The data collected by the questionnaire were analysed by ISM and were mapped out at seven levels in an interactive network in that 'shareholders' and 'accounting and financial reporting systems' were placed at the highest level. The results revealed that the most effective factor in driving power-dependence matrix was 'annual budget and the five-year development plan' so that the operational budgeting of Saipa Investment Co. was dependent on this factor.
Journal: Int. J. of Process Management and Benchmarking
Pages: 397-418
Issue: 3
Volume: 10
Year: 2020
Keywords: budget; budgeting; operational budgeting; interpretive structural modelling; ISM.
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:3:p:397-418
Template-Type: ReDIF-Article 1.0
Author-Name: Catarina Rosa Nunes
Author-X-Name-First: Catarina Rosa
Author-X-Name-Last: Nunes
Author-Name: Maria João Cardoso Vieira Machado
Author-X-Name-First: Maria João Cardoso Vieira
Author-X-Name-Last: Machado
Title: Benchmarking in the hotel industry: the use of USALI
Abstract:
The specific objectives of this study are the following: to analyse the association between the hotel features and the use of the Uniform System of Accounts for the Lodging Industry (USALI) to analyse whether the use of this system is associated with the price charged by the hotels. Data collection began with a survey addressed to the financial managers of 241 4-star and 5-star hotels located in Portugal. To meet the objectives proposed, information on the price charged by the responding hotels was also collected from the Booking.com online platform. The results obtained allow us to indicate as main contributions the following: evidence of the existence of associations between hotel features and the use of USALI; evidence that the use of USALI influences the price practiced.
Journal: Int. J. of Process Management and Benchmarking
Pages: 382-396
Issue: 3
Volume: 10
Year: 2020
Keywords: USALI; hotel features; hotel price; contingency variables.
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:3:p:382-396
Template-Type: ReDIF-Article 1.0
Author-Name: Salmi Mohd Isa
Author-X-Name-First: Salmi Mohd
Author-X-Name-Last: Isa
Author-Name: Lai Kelly
Author-X-Name-First: Lai
Author-X-Name-Last: Kelly
Author-Name: Shaian Kiumarsi
Author-X-Name-First: Shaian
Author-X-Name-Last: Kiumarsi
Title: Brand switching through marketing mix: the role of brand effect on smartphone users
Abstract:
This study examines the role of marketing mix on brand switching among Malaysian smartphone users. It also investigates the mediating role of brand effect on the relationship between marketing mix (namely product, price, place and promotion), service, and brand switching. It uses a self-administered questionnaire to collect data from 304 participants, and their responses were analysed using Statistical Package for the Social Sciences (SPSS) and smart partial least squares (SmartPLS). Evidence from the study reveals that price and promotion have effects on brand switching towards smartphones. It also shows that brand effect partly mediates the connections between product, price and brand switching towards smartphones. Although the Samsung brand remains the market leader in the smartphone industry in Malaysia, empirical research on the nexus between marketing mix and brand switching in Malaysia remains very scanty. Despite some limitations of this study that could affect its generalisability, it enhances marketers' understanding of the marketing mix, which should receive adequate attention to attract smartphone users to switch to their brands. It also provides marketers with the knowledge of usage behaviours of Malaysia smartphone users which could be useful for launching new models that suit the preferences of smartphone users.
Journal: Int. J. of Process Management and Benchmarking
Pages: 419-438
Issue: 3
Volume: 10
Year: 2020
Keywords: marketing mix; brand effect; brand switch; smartphone.
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:3:p:419-438
Template-Type: ReDIF-Article 1.0
Author-Name: Soranart Ngamcachonkulkid
Author-X-Name-First: Soranart
Author-X-Name-Last: Ngamcachonkulkid
Author-Name: Parames Chutima
Author-X-Name-First: Parames
Author-X-Name-Last: Chutima
Author-Name: Somboon Chuaykoblap
Author-X-Name-First: Somboon
Author-X-Name-Last: Chuaykoblap
Title: Developing a commercialisation model for innovative products and processes in a petroleum firm
Abstract:
In Thailand, the petroleum industry is a major contributor to the economy as a supplier of crucial petroleum products. However, due to its geographical location, many multinational oil and gas companies have established their operations in the country. For Thai petroleum firms to remain competitive in the industry, effective commercialisation strategies of inventions to innovations can bring firms competitive advantages in terms of financial returns, business opportunities for partnerships, and advanced operations. Nonetheless, commercialisation of inventions is becoming increasingly difficult due to changes in the market. Firms operating without an explicitly established commercialisation process are at a disadvantage. The objective of this research is to develop a formal commercialisation model suitable for commercialising product and process inventions in Thailand's petroleum industry. The methodology used in this research consists of three stages as follows: 1) develop a preliminary commercialisation model; 2) refine the model; 3) apply the model to a Thai petroleum firm as a case study. As a result, two commercialisation models are developed, namely an industrial commercialisation model and a company commercialisation model.
Journal: Int. J. of Process Management and Benchmarking
Pages: 439-461
Issue: 4
Volume: 10
Year: 2020
Keywords: commercialisation model; innovative products; petroleum firm.
File-URL: http://www.inderscience.com/link.php?id=110283
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:4:p:439-461
Template-Type: ReDIF-Article 1.0
Author-Name: S.R. Singh
Author-X-Name-First: S.R.
Author-X-Name-Last: Singh
Author-Name: Shilpy Tayal
Author-X-Name-First: Shilpy
Author-X-Name-Last: Tayal
Author-Name: Anjali Gaur
Author-X-Name-First: Anjali
Author-X-Name-Last: Gaur
Title: Replenishment policy for deteriorating items with trade credit and allowable shortages under inflationary environment
Abstract:
In this paper we have developed an inventory model for deteriorating items in which demand of the product is a function of expiration date. In such cases the demand for the product generally decreases as the product is nearer to its expiration date. The different cases based on the allowed trade credit period have been discussed under inflationary environment. Shortages are allowed and partially backlogged. To exemplify this model numerical examples for all the cases and sensitivity analysis with respect to important parameters have been provided. The convexities graphs and the variation in total cost with the changes in parameters are represented with the help of the graph. The objective of this paper is to find out the optimal ordering quantity by which one can minimise the total associated cost of the system.
Journal: Int. J. of Process Management and Benchmarking
Pages: 462-478
Issue: 4
Volume: 10
Year: 2020
Keywords: deterioration; trade credit period; inflation; shortages; partial backlogging.
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:4:p:462-478
Template-Type: ReDIF-Article 1.0
Author-Name: Gunnar Dahlin
Author-X-Name-First: Gunnar
Author-X-Name-Last: Dahlin
Title: What can we learn from process maturity models? – A literature review of models addressing process maturity
Abstract:
The article provides an updated extensive literature review on process maturity. On a general level process maturity could be defined as the degree to which a process is defined, managed, measured, and continuously improved, where the aim of working with maturity is twofold, either to measure the level of maturity in order to compare with other processes or to identify improvement areas. According to the findings of this study there are areas indicating needs of further research. Firstly, the fundamentals of process management seem to be missing when describing the work with process maturity, which could affect the quality of maturity models. A second area of further research is related to the absence of approaches and methods for improving process maturity, since improving maturity is often addressed as 'what' to do, not 'how' to do.
Journal: Int. J. of Process Management and Benchmarking
Pages: 495-519
Issue: 4
Volume: 10
Year: 2020
Keywords: maturity; process maturity; processes; maturity model; process management; quality management; total quality management; TQM; process improvement; business process management; BPM; quality maturity.
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:4:p:495-519
Template-Type: ReDIF-Article 1.0
Author-Name: S. Maragatha Sundari
Author-X-Name-First: S. Maragatha
Author-X-Name-Last: Sundari
Author-Name: N. Murugeswari
Author-X-Name-First: N.
Author-X-Name-Last: Murugeswari
Author-Name: P. Manikandan
Author-X-Name-First: P.
Author-X-Name-Last: Manikandan
Title: A study on the performance measures of the non-Markovian model of optional types of service with extended vacation, reneging process and service interruption followed by phases of repair
Abstract:
In this study on a non-Markovian queuing framework, clients arriving in batches follow a Poisson distribution. All the arriving clients have the alternative of picking any of the N sorts of services rendered. Service time follows general distribution. In addition, the system breaks down at random. Hence the server gets into repair process of two phases based on the fault, in first phase general repair is carried out. Then in the second phase repair based on the category is followed. Likewise after the system ends up with service, the server will go for a necessary vacation. In addition, an optional extended vacation is followed. In this vacation time, maintenance work is carried out. An additional aspect of reneging happens during the time of break down and vacation due to impatience of the customers. By the use of birth and death queuing process the conditions overseeing the model is framed. The probability generating queue size and queuing execution measures of the model are derived. The legitimisation of the model is finished by methods for numerical illustration. The graphical portrayal gives a reasonable picture about the procedure. Also, it gives significant thoughts for decrease the system break down, reneging and for the advance of the system speedier.
Journal: Int. J. of Process Management and Benchmarking
Pages: 520-549
Issue: 4
Volume: 10
Year: 2020
Keywords: non-Markovian queue; optional types of service; service interference; optional extended vacation; maintenance work; revamp process of two stages.
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:4:p:520-549
Template-Type: ReDIF-Article 1.0
Author-Name: Anil Kumar Agrawal
Author-X-Name-First: Anil Kumar
Author-X-Name-Last: Agrawal
Author-Name: Monica Sharma
Author-X-Name-First: Monica
Author-X-Name-Last: Sharma
Author-Name: Praveen K. Mehrotra
Author-X-Name-First: Praveen K.
Author-X-Name-Last: Mehrotra
Title: Determinants of switching intention towards mobile number portability
Abstract:
India has the second largest telecom network in the world after China with about 1,206 million subscribers. The sharp increase in the teledensity and further decline in the tariffs in telecom sector has contributed significantly in India's economic growth. Mobile number portability (MNP) was introduced in India in 2011 but was limited to licensed service area (LSA). Countrywide MNP was launched in India in 2015. By March 2017, MNP requests were 23.3% of mobile subscriber base in India. In this paper Indian telecom sector, MNP progress in India, MNP implementation around the world, benefits of MNP and various studies on MNP have been discussed. Porting fees, porting speed, service quality, price, switching cost, satisfaction have been found the determinants of switching based on different studies carried around the world.
Journal: Int. J. of Process Management and Benchmarking
Pages: 479-494
Issue: 4
Volume: 10
Year: 2020
Keywords: mobile number portability; MNP; switching intention; Indian telecom sector; MNP benefits; telecom operators; determinants of switching.
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:4:p:479-494
Template-Type: ReDIF-Article 1.0
Author-Name: K. Sivakumar
Author-X-Name-First: K.
Author-X-Name-Last: Sivakumar
Author-Name: R. Jeyapaul
Author-X-Name-First: R.
Author-X-Name-Last: Jeyapaul
Author-Name: K.E.K. Vimal
Author-X-Name-First: K.E.K.
Author-X-Name-Last: Vimal
Title: Analysing organisational competitiveness through sustainable manufacturing using a hierarchical approach
Abstract:
The paper proposes a framework for evaluating the organisational competitiveness attained through sustainable manufacturing. An assessment model using analytical hierarchal process (AHP) has been adopted for the evaluation of organisational competitiveness. A conceptual model is developed to understand the interrelationship between seven sustainable manufacturing practices and five organisational competitiveness with 14 sustainable manufacturing outputs at the intermediate level. The attainment of six organisational competitiveness is evaluated by computing the global priority scores of practices and outputs of sustainable manufacturing. The linkage matrix developed between the practices and the output of sustainable manufacturing and the output and organisational competitiveness is the significant contribution of this work that can be used by practicing managers/researchers to understand the various interactions and hence, promote the research in the field of sustainable manufacturing.
Journal: Int. J. of Process Management and Benchmarking
Pages: 550-577
Issue: 4
Volume: 10
Year: 2020
Keywords: organisational competitiveness; sustainable manufacturing output; SMO; decision making; linkage matrix; sustainable manufacturing practices; SMPs.
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Handle: RePEc:ids:ijpmbe:v:10:y:2020:i:4:p:550-577