Template-Type: ReDIF-Article 1.0
Author-Name: Elia Oey
Author-X-Name-First: Elia
Author-X-Name-Last: Oey
Author-Name: Maulana Nofrimurti
Author-X-Name-First: Maulana
Author-X-Name-Last: Nofrimurti
Title: Lean implementation in traditional distributor warehouse - a case study in an FMCG company in Indonesia
Abstract:
Warehouse is a crucial part of firms' logistic system and plays an important role in delivering products from manufacturers to end consumers. Lean principles originated from manufacturing practice can be adapted to warehouse environment to enhance its productivity. The study was based on a multinational fast-moving consumer goods in Indonesia which relied on small and medium enterprises (SME) as their intermediaries to distribute its products throughout Indonesia. Lean warehousing techniques were used as a practical tool to introduce a good and efficient warehouse practice for its distributors. As a standardised framework for its distributors, the company introduced three stages for lean warehouse implementation, i.e., 'create stability', 'create flow', and 'make flow' in the warehouse. Implementation was done for the first two stages in one pilot distributor, resulting to 26% increase in picking productivity and a more balanced warehouse operation. Result will be used as a baseline and show-case for further implementations to the rest of its distributors.
Journal: Int. J. of Process Management and Benchmarking
Pages: 1-15
Issue: 1
Volume: 8
Year: 2018
Keywords: lean warehouse; distributors; 5S; waste; value stream mapping; muda-mura-muri; Indonesia; visual management; create stability; create flow; make flow.
File-URL: http://www.inderscience.com/link.php?id=88654
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:1:p:1-15

Template-Type: ReDIF-Article 1.0
Author-Name: Shailaja Rego
Author-X-Name-First: Shailaja
Author-X-Name-Last: Rego
Author-Name: Naresh Kumar
Author-X-Name-First: Naresh
Author-X-Name-Last: Kumar
Author-Name: P.N. Mukherjee
Author-X-Name-First: P.N.
Author-X-Name-Last: Mukherjee
Title: Impact of policy implementation on telecommunication diffusion in India
Abstract:
Telecommunication sector has emerged as a key driver of economic and social development. The thrust to ensure access of telecom services to a common man is a challenging task in a country like India where majority of the population reside in villages. The conducive policy can attract investments in this sector apart from generating manifold employment opportunities in the telecom sector. India is one of the fastest growing telecom markets in the world. The unprecedented increase in tele-density and sharp decline in tariffs in the telecom sector have contributed significantly to the country's economic growth. Besides contributing considerably to India's GDP, telecommunications along with information technology, has accelerated the growth of economic and social sectors. The objective of the study is to analyse effect of different policies on the telecommunication diffusion, hence, seven different policies of the telecom sector are analysed to study their impact on growth of telecom sector.
Journal: Int. J. of Process Management and Benchmarking
Pages: 16-34
Issue: 1
Volume: 8
Year: 2018
Keywords: telecommunication; tele-density; GDP; information technology; India.
File-URL: http://www.inderscience.com/link.php?id=88655
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:1:p:16-34

Template-Type: ReDIF-Article 1.0
Author-Name: Md. Sanowar Hossain
Author-X-Name-First: Md. Sanowar
Author-X-Name-Last: Hossain
Author-Name: Md. Mosharraf Hossain
Author-X-Name-First: Md. Mosharraf
Author-X-Name-Last: Hossain
Title: Application of interactive fuzzy goal programming for multi-objective integrated production and distribution planning
Abstract:
Integrating two interconnected processes and controlling conflicting goals of a production and distribution problem is necessary for better planning. The aim of this integration is to allocate the limited available resources to produce the products over the time periods and ensure economical dispatching to distribution centres. In a responsive and competitive market, production and distribution planning modules is considered here within the framework of satisfaction level of decision maker. Triangular fuzzy numbers and the concept of minimum accepted level are employed to formulate the problem. Minimum operator and weighted average operator method is used to aggregate all fuzzy set and solved by three algorithms and goal programming method. The proposed approach aims to formulate a fuzzy multi-objective linear programming model to simultaneously minimise the total production cost, distribution cost and delivery time for multi-product and multi-time period under multiple uncertainty. AHP is used to rank multiple objectives and solved with MATLAB.
Journal: Int. J. of Process Management and Benchmarking
Pages: 35-58
Issue: 1
Volume: 8
Year: 2018
Keywords: supply chains; production and distribution planning decision; PDPD; fuzzy multi-objective linear programming; FMOLP; goal programming; GP.
File-URL: http://www.inderscience.com/link.php?id=88656
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:1:p:35-58

Template-Type: ReDIF-Article 1.0
Author-Name: Suman Gothwal
Author-X-Name-First: Suman
Author-X-Name-Last: Gothwal
Author-Name: Tilak Raj
Author-X-Name-First: Tilak
Author-X-Name-Last: Raj
Title: Prioritising the performance measures of FMS using multi-criteria decision making approaches
Abstract:
The evaluation of the most appropriate performance measures in the manufacturing sector is one of the strategic issues that may affect the flexible manufacturing system (FMS). In this paper, five areas of performance measures, i.e., measures related to finance, measures related to customers, measures related to innovation and knowledge, measures related to internal business and miscellaneous measures with their sub-measures are considered. The purpose of this paper is to provide a framework to proactively manage performance measures. For this purpose, a comparative study of multi criteria decision making approaches, simple additive weighting (SAW) and weighted product method (WPM) are integrated with analytic hierarchy process (AHP) in order to get the best solution. AHP is used to determine the weights of the measures which are used in SAW and WPM approaches, for prioritising the performance measures so that management could take the decision regarding improvement. Here, fuzzy logic is used to change the qualitative measures into the quantitative measures.
Journal: Int. J. of Process Management and Benchmarking
Pages: 59-78
Issue: 1
Volume: 8
Year: 2018
Keywords: performance measure; flexible manufacturing system; FMS; analytic hierarchy process; AHP; simple additive weighting; SAW; weighted product method; WPM.
File-URL: http://www.inderscience.com/link.php?id=88657
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:1:p:59-78

Template-Type: ReDIF-Article 1.0
Author-Name: Yuchun Xu
Author-X-Name-First: Yuchun
Author-X-Name-Last: Xu
Author-Name: Ashutosh Tiwari
Author-X-Name-First: Ashutosh
Author-X-Name-Last: Tiwari
Author-Name: Hao Chen Chen
Author-X-Name-First: Hao Chen
Author-X-Name-Last: Chen
Author-Name: Christopher J. Turner
Author-X-Name-First: Christopher J.
Author-X-Name-Last: Turner
Title: Development of a validation and qualification process for the manufacturing of medical devices: a case study based on cross-sector benchmarking
Abstract:
The validation stage plays a critical role in the development and production of medical devices; it ensures new medical devices meet all the functional, reliability and quality requirements of both customer and regulatory authorities. This paper presents a case study concerning validation and qualification process for medical devices in a UK-based medical device manufacturer. The work aims to develop an efficient and highly reliable procedure for the validation of medical devices. A benchmarking study has been performed to identify the best practices in product validation. The existing practices within the case study manufacturer have been reviewed to identify opportunities for validation improvement. New practices have been proposed for the case study manufacturer, and guidelines for implementing the proposed validation procedures have also been developed.
Journal: Int. J. of Process Management and Benchmarking
Pages: 79-102
Issue: 1
Volume: 8
Year: 2018
Keywords: medical device; quality control; validation; qualification; benchmarking.
File-URL: http://www.inderscience.com/link.php?id=88658
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:1:p:79-102

Template-Type: ReDIF-Article 1.0
Author-Name: Ankur Sharma
Author-X-Name-First: Ankur
Author-X-Name-Last: Sharma
Author-Name: Rajiv Kumar Sharma
Author-X-Name-First: Rajiv Kumar
Author-X-Name-Last: Sharma
Title: Modelling and analysis of enablers for successful implementation of cellular manufacturing system
Abstract:
The primary objective of this paper is to develop a model for the enablers supporting the implementation of cellular manufacturing systems with the help of interpretive structural modelling methodology. These enablers were dissected through literature review and expert's opinion. The questionnaire-based review has been accomplished for the ranking of these enablers. The MICMAC analysis has been performed to interpret the mutual dependencies of 'driving enablers' (i.e., which help to accomplish other enablers) and 'dependent enablers' (i.e., which are accomplished by driving enablers). From the outcomes, it has been observed that improved production process stability and capability, increased automation, and improved worker skill flexibility forms lowest level in the ISM hierarchy. These enablers have high driving power and low dependence power. So, these enablers may be treated as the 'key enablers'. These key enablers would avail the management in contributing appropriate supervision and guidance during the successful implementation of cellular manufacturing system.
Journal: Int. J. of Process Management and Benchmarking
Pages: 103-123
Issue: 1
Volume: 8
Year: 2018
Keywords: group technology; cellular manufacturing system; CMS; interpretive structural modelling; MICMAC; enablers.
File-URL: http://www.inderscience.com/link.php?id=88659
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:1:p:103-123

Template-Type: ReDIF-Article 1.0
Author-Name: Priyank Srivastava
Author-X-Name-First: Priyank
Author-X-Name-Last: Srivastava
Author-Name: Dinesh Khanduja
Author-X-Name-First: Dinesh
Author-X-Name-Last: Khanduja
Author-Name: Vishnu P. Agrawal
Author-X-Name-First: Vishnu P.
Author-X-Name-Last: Agrawal
Title: Integrating agile thinking into maintenance strategy performance analysis
Abstract:
Machinery, equipment and tooling maintenance cost are amongst the main contributors to cost of production in any manufacturing firm. Reducing cost of maintenance practices by eliminating waste or unwanted intermediate processes and selecting optimum maintenance strategy can result in win-win situation to get competitive edge in present day dynamic market where end user requirement is highly specific and rapidly changing. The aim of this paper is to integrate agile thinking with evaluation of different maintenance strategies for different equipment at a selected thermal power station. The paper also explores selection of optimum maintenance strategies at a power plant using extent analysis of fuzzy AHP.
Journal: Int. J. of Process Management and Benchmarking
Pages: 228-245
Issue: 2
Volume: 8
Year: 2018
Keywords: agile thinking; maintenance strategies; multi-criteria decision making; MCDM; fuzzy analytic hierarchy process; extent analysis.
File-URL: http://www.inderscience.com/link.php?id=90785
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:2:p:228-245

Template-Type: ReDIF-Article 1.0
Author-Name: Santosh Kumar Nayak
Author-X-Name-First: Santosh Kumar
Author-X-Name-Last: Nayak
Author-Name: Purna Chandra Mishra
Author-X-Name-First: Purna Chandra
Author-X-Name-Last: Mishra
Title: Response surface method-based optimisation of spray parameters during impingement cooling of hot steel in rolling
Abstract:
Response surface methodology was employed for optimising the complex air-water spray mechanisms that occur in hot surface cooling processes where forced convection exists. Results from a physical air-water spray cooling experiment were generated and the experimental parameters were optimised for achieving heat flux from the surface of a hot steel test plate of dimension 120 mm × 120 mm. The thickness of the plate was considered as one of the variable (4 mm, 6 mm and 8 mm) during the experimentation. The other variables in the problem were the nozzle to plate distance, air pressure and water pressure. The experiments were carried out based on the response surface design of experiments. The heat flux was calculated by using Newton's convection model. The optimisation of the controlling parameters was carried out by using the response surface method (RSM). A new mathematical correlation was developed for optimisation of the surface heat flux.
Journal: Int. J. of Process Management and Benchmarking
Pages: 125-141
Issue: 2
Volume: 8
Year: 2018
Keywords: response surface method; RSM; spray cooling; steel rolling; heat flux and optimisation.
File-URL: http://www.inderscience.com/link.php?id=90793
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:2:p:125-141

Template-Type: ReDIF-Article 1.0
Author-Name: Saeedeh Ketabi
Author-X-Name-First: Saeedeh
Author-X-Name-Last: Ketabi
Author-Name: Ehsan Teymouri
Author-X-Name-First: Ehsan
Author-X-Name-Last: Teymouri
Author-Name: Mohammad Ketabi
Author-X-Name-First: Mohammad
Author-X-Name-Last: Ketabi
Title: Efficiency measurement of emergency departments in Isfahan, Iran
Abstract:
The purpose of this study is to evaluate the performance of emergency departments. The multi-criteria comparison between the wards of different hospitals is not only useful for the patients but also important for the hospital's management to improve their performance and for the medical policy makers to plan strategic decisions. In this paper, it is intended to consider the aspects of efficiency beyond the traditional evaluation of check list. The factors which have been chosen are divided into two subsets: first, input factors consisting of no. of active beds, no. of physicians, no. of nurses and medical equipment and second, output factors including no. of discharge, percentage of revival, average waiting time and patient satisfaction. The input oriented and constant returns to scale model of data envelopment analysis (DEA) technique is used to evaluate the efficiency of each emergency department. The model can be used to find out the causes of inefficiency and how to improve the performance. The method has been applied to evaluate and compare 24 EDs of hospitals in Isfahan. DEA model reveals that 37% of them are inefficient. The results may be then used to suggest the improvement strategies based on the input factors.
Journal: Int. J. of Process Management and Benchmarking
Pages: 142-155
Issue: 2
Volume: 8
Year: 2018
Keywords: emergency department; performance evaluation; data envelopment analysis; DEA; efficiency; resource utilisation; Iran.
File-URL: http://www.inderscience.com/link.php?id=90794
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:2:p:142-155

Template-Type: ReDIF-Article 1.0
Author-Name: J. Gokulachandran
Author-X-Name-First: J.
Author-X-Name-Last: Gokulachandran
Author-Name: R. Padmanaban
Author-X-Name-First: R.
Author-X-Name-Last: Padmanaban
Title: Prediction of remaining useful life of cutting tools: a comparative study using soft computing methods
Abstract:
Predicting the remaining useful life of the partially degraded components and putting them to use will help to save natural resources to a great extent. This will reduce the overall cost, energy and protects environment. High productivity cutting tools used in manufacturing industry are generally expensive. As such, the accurate assessment of remaining useful life (for reuse) of any given tool is of great significance in any manufacturing industry. The main objective of this research is to develop a comprehensive methodology to assess the reuse potential of carbide-tipped tools. This paper presents the use of three soft computing methods, namely, artificial neural network, neuro fuzzy logic and support vector regression methods for the assessment of remaining useful life (RUL) of cutting tools. In this work, experiments are conducted based on Taguchi approach and tool life values are obtained. Tool life values are predicted using the aforesaid three soft computing methods and RUL obtained from these values are compared. It is found that the predictive neuro fuzzy method is capable of giving a better prediction of remaining useful tool life than the other methods.
Journal: Int. J. of Process Management and Benchmarking
Pages: 156-181
Issue: 2
Volume: 8
Year: 2018
Keywords: remaining useful life; reuse; cutting tools; tool life; artificial neural network; ANN; neuro fuzzy logic; support vector regression; SVR.
File-URL: http://www.inderscience.com/link.php?id=90795
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:2:p:156-181

Template-Type: ReDIF-Article 1.0
Author-Name: Suman Gothwal
Author-X-Name-First: Suman
Author-X-Name-Last: Gothwal
Author-Name: Tilak Raj
Author-X-Name-First: Tilak
Author-X-Name-Last: Raj
Title: Optimisation of AGVs path layout in flexible manufacturing system using 0-1 linear integer programming
Abstract:
The use of AGVs has grown enormously since their introduction. The number of areas of application and variation in types has increased significantly. Flow path design is an important factor in the design of automated guided vehicle systems (AGVS). In this paper, problem of optimal flow path layout design of automated guided vehicles in the flexible manufacturing system is discussed. The problem is analysed and formulated as 0-1 linear integer programming model with the objective of minimising the total distance travelled by individual loaded AGV. An illustrative example of a layout consisting of four manufacturing cells with 16 nodes and 19 arcs is discussed to demonstrate the approach. In this approach only the movement of loaded vehicles with the unidirectional flow is considered. A general linear optimisation computer software package, named LINGO 14 is used to find out the optimal flow path for the layout.
Journal: Int. J. of Process Management and Benchmarking
Pages: 182-205
Issue: 2
Volume: 8
Year: 2018
Keywords: automated guided vehicle; AGV; optimisation; flow path layout; linear integer programming; flexible manufacturing system; FMS; LINGO 14.
File-URL: http://www.inderscience.com/link.php?id=90796
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:2:p:182-205

Template-Type: ReDIF-Article 1.0
Author-Name: Tanakorn Tantanawat
Author-X-Name-First: Tanakorn
Author-X-Name-Last: Tantanawat
Author-Name: Nuttharporn Puckdeesorasuk
Author-X-Name-First: Nuttharporn
Author-X-Name-Last: Puckdeesorasuk
Author-Name: Arkom Haewchin
Author-X-Name-First: Arkom
Author-X-Name-Last: Haewchin
Author-Name: Ekkarut Viyanit
Author-X-Name-First: Ekkarut
Author-X-Name-Last: Viyanit
Title: The application of overall equipment effectiveness to support the development of a steamless nut-separated palm oil mill
Abstract:
A steamless nut-separated palm oil mill has been developed based on small-scale community's requirements with the purpose to overcome constraints faced by a conventional palm oil mill. The current paper discusses challenges in the development and technology transfer of the steamless nut-separated palm oil mill, including communication about technology performance, uncategorised problems, and limited flow of financial information. To overcome these challenges, the proposed approach is to use OEE-based plant performance indices and its estimated corresponding financial performance indices to communicate about the technology performance. In this work, the calculation of OEE was derived based on data obtained from palm oil mills. In addition, the performance factor was sub-categorised into the reception and extraction factors to relate the plant performance to the mill capacity and oil extraction rate, which are common variables used in palm oil mills. Moreover, the quality factor was derived based on free fatty acid of crude palm oil. A simulated plant operating data was used for the purpose of demonstrating the proposed approach. The figures of world-class OEE and its components were also used to identify the area for initiating process improvement activities and estimate the potential performance of the technology.
Journal: Int. J. of Process Management and Benchmarking
Pages: 206-227
Issue: 2
Volume: 8
Year: 2018
Keywords: overall equipment effectiveness; OEE; performance measurement; palm oil extraction system; steamless nut-separated palm oil mill.
File-URL: http://www.inderscience.com/link.php?id=90797
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:2:p:206-227

Template-Type: ReDIF-Article 1.0
Author-Name: Rohit Kumar Singh
Author-X-Name-First: Rohit Kumar
Author-X-Name-Last: Singh
Author-Name: Elvin Joseph Clements
Author-X-Name-First: Elvin Joseph
Author-X-Name-Last: Clements
Author-Name: Vandana Sonwaney
Author-X-Name-First: Vandana
Author-X-Name-Last: Sonwaney
Title: Measurement of overall equipment effectiveness to improve operational efficiency
Abstract:
This study presents measurement of OEE which serves a basis for analysing operational efficiency in a manufacturing unit. Initially, measure of overall equipment effectiveness is described which explains what metrics make up this OEE and the losses that are classified under each of the metrics. Then it focuses on how OEE forms an integral part of the total productive maintenance activity. Its use and implementation in the manufacturing unit are analysed by calculating the OEE before and after making some modifications in the process by considering the case of die manufacturing equipment. This case study with longitudinal approach includes data collection and analysis of the process followed in a manufacturing unit. The operational data of OEE variables collected contribute in calculating availability, performance and quality, dimensions for measuring OEE. It also illustrates how the three OEE factors are determined and splits them into the specific constituents that are needed to develop the OEE percentage.
Journal: Int. J. of Process Management and Benchmarking
Pages: 246-261
Issue: 2
Volume: 8
Year: 2018
Keywords: performance measurement; OEE; manufacturing; equipment; losses; total productive maintenance; TPM.
File-URL: http://www.inderscience.com/link.php?id=90798
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:2:p:246-261

Template-Type: ReDIF-Article 1.0
Author-Name: Lobna Makni
Author-X-Name-First: Lobna
Author-X-Name-Last: Makni
Author-Name: Nahla Zaaboub Haddar
Author-X-Name-First: Nahla Zaaboub
Author-X-Name-Last: Haddar
Author-Name: Hanêne Ben-Abdallah
Author-X-Name-First: Hanêne
Author-X-Name-Last: Ben-Abdallah
Title: An automated method for the construction of semantic business process patterns
Abstract:
The effectiveness of reuse in the development of software prompted researchers to look for reuse techniques for business process modelling. Indeed, a variety of reusable business artefact types has been proposed during the last decade. Among the recently proposed reuse artefact types, semantic business process patterns (SB2Ps) offer process patterns that encapsulate knowledge and commonly used practices in a particular domain. The design using an SB2P provides for the adaptation of these practices and it offers guidance on possible variations. This paper presents an automated method to construct SB2P starting from a set of process models in a given domain. The proposed method has the merit of accounting for the semantic, structural and behavioural information of the initial models. In addition, it produces process patterns where common fragments are distinguished from variation points, which assists business process designers in reusing an SB2P to meet their requirements. The method is illustrated through a case study in the cost accounting domain.
Journal: Int. J. of Process Management and Benchmarking
Pages: 263-290
Issue: 3
Volume: 8
Year: 2018
Keywords: business process modelling; semantic business process pattern; SB2P; business object ontology; BOON; semantic rules; mandatory activities; variation points.
File-URL: http://www.inderscience.com/link.php?id=92889
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:3:p:263-290

Template-Type: ReDIF-Article 1.0
Author-Name: Nesrin Halouani
Author-X-Name-First: Nesrin
Author-X-Name-Last: Halouani
Author-Name: Sonia Hajlaoui
Author-X-Name-First: Sonia
Author-X-Name-Last: Hajlaoui
Title: A farmland choice based on hesitant fuzzy linguistic preferences relations
Abstract:
A new type of fuzzy preference structure, called hesitant linguistic preference relations, is developed in order to describe uncertain evaluation information in group decision-making (GDM) farmland choice. Moreover, it allows decision makers to offer all possible linguistic terms that are not accounted for in current preference structure types when we compare two alternatives. Systematic aggregation operators are proposed to aggregate hesitant fuzzy linguistic information. In addition, an approach to GDM based on PROMETHEE method concepts and hesitant linguistic preference relations is developed to take into account the differences in opinions between individual decision makers. An agriculture real case study is implemented to demonstrate the practicability of the proposed method. Also, a sensitivity analysis is carried out to reveal the effect of the criteria weighting variations on the originally obtained ranking.
Journal: Int. J. of Process Management and Benchmarking
Pages: 291-317
Issue: 3
Volume: 8
Year: 2018
Keywords: MCDA; preference relations; fuzzy sets; linguistic terms; hesitant fuzzy sets; HFS; hesitant linguistic terms; PROMETHEE method; farmland choice.
File-URL: http://www.inderscience.com/link.php?id=92890
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:3:p:291-317

Template-Type: ReDIF-Article 1.0
Author-Name: Aniket Thawkar
Author-X-Name-First: Aniket
Author-X-Name-Last: Thawkar
Author-Name: Pravin Tambe
Author-X-Name-First: Pravin
Author-X-Name-Last: Tambe
Author-Name: Vishwas Deshpande
Author-X-Name-First: Vishwas
Author-X-Name-Last: Deshpande
Title: A reliability centred maintenance approach for assessing the impact of maintenance for availability improvement of carding machine
Abstract:
The complex nature of modern equipment and systems often leads to failures and, as a consequence, an increase in machine downtime, thus affecting production. The failures of machines cause disruptions in production, resulting in the loss of availability of the system and increase the cost of maintenance. This paper presents a reliability centred maintenance (RCM) methodology to improve the availability of carding machine in textile industry. The main objective of this paper is to present a RCM approach for improving the availability of the carding machine and thus maximise the production output. Failure mode and effect analysis (FMEA) is used for analysing the failures in the machine. The preventive measure to reduce the failure frequency and its impact are proposed. The proposed preventive measures result in reduction of about 26% of the total downtime and availability improvement of approximately 1.7%, as compared with the availability due to current maintenance practices.
Journal: Int. J. of Process Management and Benchmarking
Pages: 318-339
Issue: 3
Volume: 8
Year: 2018
Keywords: reliability centred maintenance; RCM; failure mode and effect analysis; FMEA; availability; textile industry; carding machine.
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:3:p:318-339

Template-Type: ReDIF-Article 1.0
Author-Name: Amir Saman Kheirkhah
Author-X-Name-First: Amir Saman
Author-X-Name-Last: Kheirkhah
Author-Name: Masume Messi Bidgoli
Author-X-Name-First: Masume Messi
Author-X-Name-Last: Bidgoli
Title: A graph-theoretic-based meta-heuristic algorithm for solving cooperative dynamic facility layout problems
Abstract:
The dynamic facility layout problem (DFLP) is related to location of all facilities of a plant in a dynamic environment. Most of the existing models for this problem ignore competitive or cooperative reactions to one's action. In a recent work, the assumption of independency between parameters of material handling cost function has been relaxed and a game model has been presented. Two main shortcomings exist in this work. In one side, cooperation between decision makers is ignored. This matter could result to remove some better solutions that are not Nash equilibrium. On the other hand, computing Nash equilibrium takes much time. Then, Nash equilibrium maybe results in expensive solutions in cooperative conditions. In this paper, this real assumption is considered and by modelling the problem as a multi-criteria shortest path problem, a Pareto optimal solution is obtained. The numerical experiments confirm the effectiveness of the proposed model and solution method.
Journal: Int. J. of Process Management and Benchmarking
Pages: 340-366
Issue: 3
Volume: 8
Year: 2018
Keywords: dynamic facility layout design; material handling system design; graph theory; multi-criteria shortest path; simulated annealing.
File-URL: http://www.inderscience.com/link.php?id=92892
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:3:p:340-366

Template-Type: ReDIF-Article 1.0
Author-Name: Inderpreet Singh Ahuja
Author-X-Name-First: Inderpreet Singh
Author-X-Name-Last: Ahuja
Author-Name: Sukhjinder Singh
Author-X-Name-First: Sukhjinder
Author-X-Name-Last: Singh
Author-Name: Gurinder Singh
Author-X-Name-First: Gurinder
Author-X-Name-Last: Singh
Title: Evaluating just-in-time implementation implications in an Indian manufacturing industry
Abstract:
The manufacturing sector has witnessed severe challenges due to increasing customer demand, cost competitiveness and rapid innovations in processes and technologies. This has forced the manufacturing industries to look out for innovative process management tools and techniques having competencies to drastically transform the manufacturing operations to significantly enhance the business operations capabilities. Just-in-time (JIT) production systems, International Standards Organization (ISO) 9000 certifications and total quality management (TQM) are few major techniques adopted by manufacturing organisations to cater to aforesaid business objectives. JIT is a technique of producing product at high quality at a rapid response by considering the various strategies during the implementation in the company. This research presents a detailed case study in an Indian manufacturing organisation to depict the JIT initiatives taken by the organisation for realising significant manufacturing performance improvements for meeting stringent competition. This case study reveals that JIT implementation has facilitated the manufacturing organisation to reap significant benefits like productivity enhancement in various plants, removing congestion in parking areas, difficulties in loading and unloading products from the trucks, difficulties in quality check of product while unloading, and ensuring on-time delivery of the raw materials when needed.
Journal: Int. J. of Process Management and Benchmarking
Pages: 367-392
Issue: 3
Volume: 8
Year: 2018
Keywords: manufacturing industry; manufacturing performance; plant productivity; just-in-time; JIT; India.
File-URL: http://www.inderscience.com/link.php?id=92893
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:3:p:367-392

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: A framework to enhance cellular manufacturing system: a total interpretive structural modelling approach
Abstract:
The cellular manufacturing is a well known manufacturing technology that helps to improve manufacturing flexibility and productivity by maximum utilisation of available resources. Cellular manufacturing 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. Cellular manufacturing systems are those systems which are capable to meet the requirements of modern industries. There are certain enablers which help into the implementation process but also influence each other. The main objective of this paper is to identify and analyse these enablers. In the present work, these enablers have been identified through the questionnaire based literature survey and total interpretive structural modelling approach has been utilised in analysing their mutual interaction.
Journal: Int. J. of Process Management and Benchmarking
Pages: 393-407
Issue: 4
Volume: 8
Year: 2018
Keywords: manufacturing; total interpretive structural modelling; TISM; analysis; interaction; enablers.
File-URL: http://www.inderscience.com/link.php?id=95052
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:4:p:393-407

Template-Type: ReDIF-Article 1.0
Author-Name: Inderpreet Singh Ahuja
Author-X-Name-First: Inderpreet Singh
Author-X-Name-Last: Ahuja
Author-Name: Jaspreet Singh
Author-X-Name-First: Jaspreet
Author-X-Name-Last: Singh
Author-Name: Gurinder Singh
Author-X-Name-First: Gurinder
Author-X-Name-Last: Singh
Title: An investigative study to evaluate the impact of lean manufacturing in Indian manufacturing industry
Abstract:
At the current situation, LM has grown to be a worldwide trend. This is a tentative study of lean manufacturing implementation in Indian industries. A questionnaire survey has been deployed to evaluate the contributions of lean manufacturing in Indian manufacturing industry. The analysis was executed on 34 Indian manufacturing organisations. All the respondents were selected from those organisations that are committed to imbibe various lean manufacturing practices. The study reveals that nearly all of the selected respondent firms are categorised as an evolution on the way to lean manufacturing practice and the organisations have paid more attention towards organisation operation and management, narrate to external relationships with suppliers and customers through various parameters. Such organisations think that the issues that drive lean manufacturing implementation include customer focus and organisation's ability to holistically imbibe continuous improvement initiatives. The results of this study have revealed that the major difficulty to implement lean manufacturing system in an organisation is the lack of understanding lean concepts and lack of appropriate understanding about lean techniques adopted by the organisations.
Journal: Int. J. of Process Management and Benchmarking
Pages: 408-442
Issue: 4
Volume: 8
Year: 2018
Keywords: lean manufacturing; performance measures; Indian manufacturing industry; waste elimination; total quality management; 5S; Kaizen; Kanban.
File-URL: http://www.inderscience.com/link.php?id=95053
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:4:p:408-442

Template-Type: ReDIF-Article 1.0
Author-Name: Sutapa Pramanik
Author-X-Name-First: Sutapa
Author-X-Name-Last: Pramanik
Author-Name: Kalipada Maity
Author-X-Name-First: Kalipada
Author-X-Name-Last: Maity
Author-Name: Dipak Kumar Jana
Author-X-Name-First: Dipak Kumar
Author-X-Name-Last: Jana
Author-Name: Anupam Mukherjee
Author-X-Name-First: Anupam
Author-X-Name-Last: Mukherjee
Title: Multi-objective municipal solid waste management recycling problem in fuzzy-rough environment
Abstract:
In municipal solid waste (MSW) management, not only economic objectives but also environmental objectives are considered simultaneously. In this paper, a fuzzy rough (Fu-Ro) multi-objective municipal solid waste management problem (MMSWMP) is developed for supporting MSW management, associated greenhouse gas (GHG) emission control and recycling. Here, for the first time, three conflicting objectives are integrally considered, including minimisation of total system cost, minimisation of total GHG emissions from waste management facilities and maximisation of total revenue. The present MMSWMP improves upon the existing single or double objectives waste management optimisation models. Here imprecise cost parameters of the models are expressed as Fu-Ro variables. Some constraints of the system are expressed as chance constraints and Fu-Ro constraints. Multi-objective problem is transformed to single objective one through incorporation of fuzzy satisfying technique. Then it is solved as a general mixed-integer single-objective linear programming problem using a gradient-based optimisation technique - generalised reduced gradient method (Lingo-14.0). Representing different preferences of the decision makers for economic development and environmental-impact, four different planning models are formulated, solved, analysed and compared. The models are numerically illustrated and some sensitivity analysis are presented.
Journal: Int. J. of Process Management and Benchmarking
Pages: 443-469
Issue: 4
Volume: 8
Year: 2018
Keywords: municipal solid waste management; greenhouse gas emission control; recycling; fuzzy rough; fuzzy satisfying method.
File-URL: http://www.inderscience.com/link.php?id=95054
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:4:p:443-469

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: Identification of performance variables which affect the FMS: a state-of-the-art review
Abstract:
The aim of this research is the identification of performance variables which affect the flexible manufacturing system (FMS). The study was performed to find the variables especially for performance, productivity and flexibility of FMS. Recognition of variables took place from the literature and experts opinions from the manufacturing industry. The 15 performance variables were identified and three factors, i.e., quality, productivity and flexibility, were extracted, which involves the performance of FMS. The 20 productivity variables were identified and four factors, i.e., people, quality, machine, and flexibility, were extracted, which involves the productivity of FMS. Fifteen variables were identified and four factors, i.e., production flexibility, machine flexibility, product flexibility, and volume flexibility, were extracted, which affect the flexibility of FMS. This research provides the opportunity to management for understanding the factors or variables for enhancement of performance of their manufacturing firms.
Journal: Int. J. of Process Management and Benchmarking
Pages: 470-489
Issue: 4
Volume: 8
Year: 2018
Keywords: flexible manufacturing system; FMS; performance; productivity; flexibility; factors; variables.
File-URL: http://www.inderscience.com/link.php?id=95055
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:4:p:470-489

Template-Type: ReDIF-Article 1.0
Author-Name: Parames Chutima
Author-X-Name-First: Parames
Author-X-Name-Last: Chutima
Author-Name: Krit Prasert
Author-X-Name-First: Krit
Author-X-Name-Last: Prasert
Title: Solving a multi-manned assembly line balancing problem in a Pareto sense
Abstract:
This paper presents a novel algorithm which modifies the coincident algorithm (COIN), namely the adaptive extended coincident algorithm (AE-COIN), to solve a multi-manned assembly line balancing problem (MALBP). The multiple objectives are optimised in a hierarchical manner comprising of the following objectives: 1) minimise the number of workers; 2) minimise the number of stations; 3) balance workloads between stations and maximise work relatedness. The objectives in the third hierarchy are optimised in a Pareto sense since they are conflicting in nature. The performances of AE-COIN are compared against well-known algorithms, i.e., BBO, NSGA II and DPSO. The experimental results show that AE-COIN outperforms its contestants in both solution quality and diversity.
Journal: Int. J. of Process Management and Benchmarking
Pages: 490-515
Issue: 4
Volume: 8
Year: 2018
Keywords: assembly line balancing; ALB; multi-manned; coincident algorithm.
File-URL: http://www.inderscience.com/link.php?id=95056
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:4:p:490-515

Template-Type: ReDIF-Article 1.0
Author-Name: Mandeep Kumar
Author-X-Name-First: Mandeep
Author-X-Name-Last: Kumar
Author-Name: Hari Singh
Author-X-Name-First: Hari
Author-X-Name-Last: Singh
Title: Experimental investigation on surface integrity in machining of Inconel X750 with WEDM using Taguchi technique
Abstract:
The objective of the present work is to investigate the effects of various WEDM process parameters such as pulse on time, pulse off time, servo voltage, peak current, wire tension and wire feed rate on the surface roughness of the machined samples. The analysis of variance was carried out for raw data as well as for signal to noise ratio. Four input parameters have been found to be statistically significant for their effects on the response of interest. The optimum value of surface roughness was obtained at pulse on time - 110; pulse off time - 51; spark gap voltage - 65 V; peak current - 90 A; wire feed - 11; wire tension - 5. The confirmation experiments were also performed for validating the predicted results. Scanning electron microscopy was performed on the machined samples to investigate the effect and microstructure of the samples after machining.
Journal: Int. J. of Process Management and Benchmarking
Pages: 516-530
Issue: 4
Volume: 8
Year: 2018
Keywords: machining; optimisation; ANOVA; SR; Inconel; Taguchi; WEDM; GRA; scanned electron microscopy; SEM; recast layer.
File-URL: http://www.inderscience.com/link.php?id=95057
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Handle: RePEc:ids:ijpmbe:v:8:y:2018:i:4:p:516-530