International Journal of Applied Management Science (18 papers in press)
by Judit Olah, Steffen Nestler, Thomas Nobel, József Popp
Abstract: Abstract: Many German dry ports have already been successfully established and positioned in the past. However, several questions may arise from this paper. Can they keep pace with latest standards? Can they maintain their strong capabilities or are there locations in Europe, of whose achievements German dry ports can still "learn"? What impulses come in turn from the German dry ports? These and many related issues were discussed in this research. Consequently, it was also the aim of this study to illustrate the international logistics landscape and furthermore to give recommendations for the successful development of macro logistics concepts in Europe. The following elaboration outlines the results of the ranking in the year 2015. As part of the data collection in 2015 the Deutsche GVZ-Gesellschaft mbH (DGG) identified dry ports in 32 European countries. The ranking of the dry ports, as an outcome of the collected data, illustrates which dry ports in Europe could gain a very good performance due to a particularly successful development. The European ranking of 2015 is based in terms of its methodology on the scientific assessments of the authors. Therefore, it is evident that the results for example with use of a different weighting of the 40 evaluation criteria can certainly lead to different ranking results.. In comparison to the first European Ranking 2010, there is no change among the TOP 3 in the Ranking 2015. The TOP dry ports in Europe are the following: Interporto Verona, GVZ Bremen and GVZ Nuremberg. Interporto Verona, as one of the central dry port in Europe, took the lead due to a very good performance and so it is the first place in the ranking 2015. Six German dry ports gained a placement within the TOP 20. The good position of the German dry ports is caused by the high impact on employment and the various area options. The ranking of the dry ports is very important at policy making level, as in this way may identify good practices and to understand the position of each dry port at the international level.
Keywords: logistics services; dry port; macro logistics concept; hinterland; intermodal terminal.
An adaptive penalty guided genetic algorithm for scheduling parallel batch processing machines
by Shubin Xu
Abstract: We study the problem of scheduling a set of jobs with nonidentical capacity requirements on parallel nonidentical batch processing machines to minimise the makespan. We formulate the problem as a nonlinear integer programming model. Given that this problem is NP-hard, we propose a genetic algorithm to heuristically solve it. An adaptive penalty is combined to guide the search process to explore promising feasible and infeasible regions. Random problem instances were generated to test the approach with respect to solution quality and run time. Computational results demonstrate the effectiveness of the proposed algorithm.
Keywords: scheduling; parallel machines; batch processing machines; makespan; mathematical programming; heuristics; genetic algorithms; penalty function.
A hybrid fuzzy MCDM approach based on fuzzy Revised DEMATEL and ANP to evaluate fleet maintenance management
by Abdelaziz EL KFITA, Omar Drissi-Kaitouni
Abstract: This study shows to the importance of maintenance management to increase the vehicles fleet availability. In reality there are several factors related to the maintenance process and procedures, maintenance outsourcing, spare parts, fleet size, age and environment, having a direct and indirect influence with varying degrees affecting fleet management. In this sense two methods have been combined: Fuzzy Revised DEMATEL and Analytic Network Process (ANP), to evaluate the levels of interdependence as well as relative weight of selected factors and then a model was proposed with five dimensions and their relative weights were calculated. This proposed approach has been implemented in public administration as a strategic decision support. Following this study the result shows that, Outsourced Maintenance Providers dimension is the weighted factor affecting maintenance service. By contrast, the lowest weight factors were Procedures and Technical Skills.
Keywords: Fuzzy Revised-DEMATEL; ANP; fuzzy set theory; fleet maintenance management.
Effects of Target firms Inventory Turnover on post-Merger and Acquisition Performance
by Bowon Kim, Jaeseok Na, Sunghak Kim
Abstract: Firms use Merger and Acquisition(M&A) as a strategic tool to restructure or rationalize their business. In this paper, we explore the factors that determine the success of M&A in manufacturing. The literature has highlighted financial variables such as financial ratios and cash-only payment as success factors. However the literatures have not considered how operational factors of target firm have effects on the post-M&A performance of the buyer firm. Thus, we hypothesize that operational factors such as inventory turnover and R&D intensity of the target firm also affect the M&A performance of the buyer firm. In particular, although most in the literature focused on the total inventory, we look into three different types of inventory, i.e., raw material, work-in-process, and finished goods, simultaneously. Then, we put forth that the turnover of the target firms work-in-process inventory, which directly reflects its operational efficiency, is the most important factor among the three inventory types. Analyzing an extensive database of the M&A in manufacturing, we conclude that in addition to a financial factor, it is indeed the target firms operational efficiency represented by its work-in-process inventory turnover that significantly determines the buyer firms M&A performance embodied in its post-M&A ROA. We elaborate on the analysis results and discuss economic as well as managerial implications.
Keywords: work-in-process inventory; merger and acquisition; M&A; return on assets; ROA; inventory turnover; target firm; post-merger and acquisition performance.
Optimization of Dynamic Hydrogen Supply Chain Network: A Mathematical Programming Approach
by Jafar Razmi, Reza Babazadeh, Mohamad Amin Kaviani
Abstract: The recent studies on Hydrogen supply chain (HSC) explicitly state that optimizing the HSC flows is one of the main elements leads to have an efficient Hydrogen supply network and plays a vital role in total costs minimization of hydrogen production and transportation. Considering the importance of this issue, this study presents a mathematical programming optimization model to help the HSC managers make robust strategic and tactical decisions related to HSC management. Generally, the HSC echelons include gathering raw material centers, production facilities and hydrogen distribution and storage centers. The proposed approach introduces a mix-integer linear programming (MILP) model optimizing the HSC network at the strategic level of decision making through minimizing both capital and operational costs of the HSC. Furthermore, sensitivity analysis is accomplished on the transportation cost of materials within the HSC network which constitutes the major share of total costs. Moreover, a numerical example is performed to demonstrate the efficiency and validity of the proposed optimization model. The obtained results confirm the capability of the presented model for HSC network optimization. The main finding of the research indicated that hydrogen transportation cost is completely sensitive to HSC network structure.
Keywords: Supply chain network design; Hydrogen supply chain; Mixed-integer linear programming; Mathematical modelling; Optimization; Supply chain management.
Air cargo Simultaneous weight and volume capacity planning with revenue management approach
by Ali Ghorbanian, Mohammad Vardi
Abstract: Revenue Management (RM) is a subfield of Operations Research which its aim is to maximize the revenues acquired by selling perishable products/services. Due to the substantial growth in air cargo industry over the past few years, sophisticated techniques are needed to maximize revenue. In this paper, airline cargo capacity allocation problem in two cases, including cancellation possibility and impossibility have been investigated. Two capacity dimensions of the problem, volume and weight, is complicated the decision making about request acceptance policy. For the formulation of two problems, Dynamic programming technique has been used. Since dynamic programming suffer from much memory consumption for large size problems, three heuristics including Deterministic Integer Linear Programming (DILP), Bid price (BP) and Dynamic Programming Decomposition (DPD) has been proposed for problems solving. Results of simulation showed that BP and DILP have the better performance comparing to other approaches. In addition, comparison of two problems optimum values indicated that considering cancellation increase total revenue more than 10%.
Keywords: Revenue management; Air cargo; Cancellation; Overbooking.
Group decision making for strategy prioritization using hybrid aggregation: A case study of sugar industry in Thailand
by Mongkol Kittiyankajon, Danaipong Chetchotsak
Abstract: Strategy prioritization with multiple criteria decision analysis is well accepted. When group decision making is concerned however, the process to aggregate each of the experts decisions into the group decision is complicated and challenging. The traditional geometric mean method is very common for group decision but it might ignore variation among the experts decision. This paper proposed an aggregation algorithm for group decision to be used for strategy prioritization which considered the following features: 1) agreement among the individuals decisions; 2) influence of persons who had greater preferential difference; 3) the ranks of alternatives for each expert; 4) the group decision be closest to the best alternative but farthest from the worst one; and 5) importance of each expert. Simulated situations as well as a case study for sugar industry in Thailand were provided as numerical examples along with discussions of results.
Keywords: Strategy prioritization; Group decision; SWOT; AHP; TOPSIS; Sugar industry.
A new method for context factors analysis in international development project planning
by Anton Talantsev, Aron Larsson, David Sundgren
Abstract: The long-term success or failure of a development project is largely shaped by the external context. Therefore, assessment of factors influencing fulfilment of long-term development outcomes is vital for better project planning. In recent decades, the Logical Framework (logframe) has de facto become a standard tool for planning and managing development interventions. While the logframe requires identification of assumptions and risks regarding the external context, it does not suggest ways to analyse them in a conventional risk assessment manner. Also, the log-frame has been criticised for ignoring uncertainty in project environment along with neglecting external opportunities.
Therefore, in this paper we suggest a method for project context analysis that extends the log-frame with scenarios analysis and address aforementioned shortcomings. We implement and demonstrate the application of the method on an international aid development project, discuss the method's potential use-cases, specific limitations and future development.
Keywords: project context factors; project success factors; strategic project planning; project uncertainty; project risk analysis; logical framework approach; ICT4D.
Local Brand Origin Knowledge of Young Consumers In a Developing Country
by Sulhaini Saadi, Rusdan Rusdan, Rahman Dayani
Abstract: The aim of the study was to explore local brand origin knowledge among young consumers in a developing country, specifically Indonesia. The study followed inductive logic and qualitative approaches. The research process was characterised by a hermeneutic process through which the search for meaning and understanding moved from pre-understandings to understandings on a higher level. The study relied on a small number of young consumers who had a very limited knowledge of local brands. The study suggests that young consumers in a developing country do not seek to find information on brand origin. They misclassified local brands based on their evaluation of the brand name, brand associations, and the image of their home country and the misperceived country of origin. The paper is valuable for local brand owners seeking strategies to enhance competitiveness in the domestic market. They need to develop positive brand associations since it will lead to a more favourable home country image of and greater commitment to their brands.
Keywords: local brand origin knowledge; brand associations; home country image; brand commitment.
Selection process of emerging technologies using AHP- FMCGP mixed method: transportation industry of Iran
by Jafar Bagherinejad, Paria Fakhrzad
Abstract: Transportation industry is one of the most worth background that needs to be developed and updated every time, especially with respect to emerging technologies. In this paper, we developed a mathematical model including hybrid method of MCDM and GP to rank and prioritize the best transport emerging technologies in the field of Intelligent Transport Systems (ITS) and Nanotechnologies. This model has been designed by considering a hierarchical structure including three levels with four factors like technical, economical, market, environmental and culture at the first level; three areas like vehicle, road and human in the second level and four identified emerging technologies from Irans transport industry at the third level under sub-section of vehicle. The selection processes including ranking and prioritizing have been performed considering three main goals. For successful completion of our research, we used the hybrid method of AHP and FMCGP in the transportation industry of Iran. Here, our proposed three-level model concentrated on future use of emerging technologies in the transportation system of Iran. After solving the proposed hybrid model, Sleepy-driver sensors technology was the final priority. The findings can also lead to effective decision makings on investment on future emerging technologies in transportation system of Iran.
Keywords: Emerging technology; transportation industry; Analytical hierarchy process(AHP),Fuzzy multi-choice goal programming(FMCGP),Multi- Criteria Decision Makings(MCDM).
Linear Fractional Programming based on Triangular Neutrosophic Numbers
by Mai Mohamed, Mohamed Abdel-Basset
Abstract: In this paper, a solution procedure is proposed to solve neutrosophic linear fractional programming (NLFP) problem where cost of the objective function, the resources and the technological coefficients are triangular neutrosophic numbers. Here, the NLFP problem is transformed into an equivalent crisp multi-objective linear fractional programming (MOLFP) problem. By using proposed approach, the transformed MOLFP problem is reduced to a single objective linear programming (LP) problem which can be solved easily by suitable LP problem algorithm. The proposed procedure illustrated through a numerical example.
Keywords: Linear fractional programming; Neutrosophic set; Triangular neutrosophic numbers.
A Quasi-Visibility Graph Based Clique-Extraction Heuristic Model for Partitioning of Planar Shape
by Sourav Saha, Ankita Mandal, Sayantan Rana, Priya Ranjan Sinha Mahapatra
Abstract: This paper presents a graph theoretical model to partition polygonal approximation of a shape into visually meaningful constituent parts based on a heuristic approach. The proposed model introduces a new concept of approximated vertex-
visibility graph termed as Quasi-Visibility graph to generate different viable cuts for partitioning the shape. In the shape representative graph, a maximal-clique
perceptually corresponds to a distinguishable part. Based on this notion, we propose a heuristic based clique extraction strategy to decompose the shape
exploring its Quasi-Visibility graph. A few refinement strategies are also attempted by exploring the options of (a) merging correlated parts for better visual interpretation and (b) inserting antipodal points of reflex vertices in polygonal approximation for more possible viable cuts. The performance of the proposed model is evaluated by comparing partition-graphs of similar shapes. The partitioning based on the proposed model appears to be coherent with human observation and comparable with existing algorithms.
Keywords: Shape Partitioning; Visibility Graph; Shape Analysis.
Effects of buyer-supplier relationship on social performance improvement and innovation performance improvement
by Usama Awan
Abstract: Social performance improvement and innovation performance improvement is rapidly developing an area of research. Little empirical research has been conducted on the social performance outcomes in Pakistan and other developing countries. This research contributes to understanding how relational governance relates to social and innovation performance improvement in exporter and importer relationships. The analysis is based on cross-sectional base survey questionnaires on a sample of 239 senior managers from four export manufacturer industries using square structural equation modelling approach.The findings of this study show that relational governance has a key role in ensuring the continuation of relationship as a means to support suppliers, resulting in improvements in social performance and innovation performance. Social performance improvement in supply chain relationship requires the commitment of significant resources to implement it. It is proposed that a cultural intelligence is improving information exchange among buyers and suppliers, and is the more appropriate context for social performance improvement.Further research is also required to develop a deeper understanding of the relationship between an element of commitment and innovation performance improvement. Theoretical contributions, managerial implications and future research directions are also presented..
Keywords: Relational governance; cultural Intelligence; social performance; Innovation performance; buyer supplier relationship;.
The impact of perceived organizational support and Organizational Citizenship Behavior on turnover intention: An Empirical Investigation
by Seyyed Mohsen Allame, Ali Rezaei
Abstract: This study examines the relationships between perceived organizational support (POS), organizational citizenship behavior (OCB) and turnover intentions; and the mediating role of OCB on perceived organizational support and turnover intentions. The population under study was all experts from National Iranian Drilling Company among whom 158 questionnaires were distributed. Of these 158 questionnaires, 146 questionnaires were completed; of these completed questionnaires, 6 were excluded, because many items were left unanswered. Finally, 140 questionnaires were analyzed. Results showed that there is significant positive relationship between perceived organizational support and organizational citizenship behavior. Also, there is a negative significant relationship between perceived organizational support and turnover intention. The meditating role of OCB is supported in relation to the perceived organizational support and turnover intention. The results of PLS showed that the baseline model is supported.
Keywords: organizational citizenship behavior; perceived organizational support; turnover intentions.
DETERMINANTS OF CUSTOMER SATISFACTION: EMPIRICAL STUDY IN HOTELS
by Maria João Machado
Abstract: This study has three specific objectives, formulated based on the expectation confirmation paradigm: to analyse the hotel features, the performance evaluation tools used, and the price practiced by the hotels all as determinants of customer satisfaction. Data collection began with the conduction of a survey to the financial managers of 4 and 5 star hotels, located in Portugal, in order to collect information on the performance evaluation tools used and on certain hotel features. To meet the objectives proposed, two additional types of data were also collected: the degree of customer satisfaction, for the hotels responding to the initial survey; the price charged by the responding hotels. The results obtained lead us to the following main contributions: the validation of the expectation confirmation paradigm; the demonstration that there is an association between the price charged by the hotels and their customers satisfaction of.
Keywords: customer satisfaction; performance evaluation tools; Balanced Scorecard; Tableau de Bord; hotel features; hotel industry; expectation confirmation paradigm; hotel price; customer expectations; contingency variables.
Imperfect Production System with Rework of Regular Production with Sales Return by Customers and Buffer Stock
by Sivashankari C.K.
Abstract: In traditional inventory models such as the Economic Order Quantity (EOQ) and the Economic Production Quantity (EPQ) the sole objective is to minimize the total inventory-related cost typically holding cost and ordering cost. These models do not consider the presence of defective products in the lot or rework of them. Jamal, Sarkar and Mondal (2004) proposed a model, which dealt with the optimum batch quantity in a single-stage system in which rework is done by addressing two different operational policies to minimize the total system cost but their models do not considered sales return by customers. A portion of defective items produced are not successfully screened out internally during the production process and passed on to customers, thereby causing defect sales returns and reverse logistic from customers back to the manufacturer. In this direction, this paper develops an economic production quantity inventory model with sales return by customers for determining the economic production quantity for a single product, which is manufactured in a single-stage manufacturing system that generates imperfect quality products and all these defective products are reworked in the same cycle. To achieve this objective a suitable mathematical model is developed and the optimal production lot size which minimizes the total cost is derived. The relevant model is built, solved and necessary and sufficient conditions are derived. An illustrative example is provided and numerically verified. The validation of result in this model was coded in Microsoft Visual Basic 6.0.
Keywords: Production; Demand; Defective items; Rework; Sales return.
Effect of Decision-Making Style on Travel Intention of Religious Tourism (Qom as Religious Tourism Destination in Iran)
by Sayed Ehsan Hoseinipor, Hosein Rezaei, Ali Kazemi
Abstract: Marketing experts are interested in travel intention since it enables them to analyze tourists consumer behavior. In order to understand the behavior of religious tourists, this study concentrates on the effect of decision-making styles on travel intention of tourists traveling to Qom (a religious city in Iran). Data were collected through a field survey among 350 people who visited Qom city and data was analyzed using partial least square (PLS) modeling. The results show that Brand-Conscious Consumer style, Recreational and Hedonistic Consumer style, and Confused-by-Overchoice Consumer style are the main controllers of religious tourists travel intention. Also, Perfectionist Conscious Consumer style, Novelty and Fashion-Conscious Consumer style, Price-Conscious Consumer style, Habitual and Brand-Loyal Consumer style, Impulsive and Careless Consumer styles did not affect travel intention of religious tourists. This is the first study that investigates decision-making styles of religious tourists.
Keywords: Religious Tourism; Travel Intention; Consumer Decision-Making Style; Qom City.
A GIS-Based Methodology for Solving the Capacitated Vehicle Routing Problem with Time Windows: A Real-life Scenario
by Mehmet Savsar, Aaya Aboelfotoh, Dalal Embaireeg
Abstract: Most companies, which need to distribute their production daily, solely rely on human judgment in scheduling customer orders by assigning a delivery vehicle and selecting the routes for those vehicles. With increasing demand, this approach quickly becomes error prone. In this study, we present analysis of a distribution system and propose a systematic approach to improve distribution of tasks using Geographic Information System (GIS). Specifically, ArcMap\'s Network Analyst Tool is used in order to minimize total transportation costs and ensure workload balance. We incorporate dynamic traffic conditions, time windows, vehicle capacity and driver working hours into our model to present more realistic results. We compare the total transportation costs due to manual assignments with the costs obtained using our approach, in addition to proving the tool\'s validity for problems of a larger scale. Analysis is applied to a specific food catering company in order to illustrate the procedure in detail.
Keywords: Distribution; Vehicle Routing; Time Windows; Transportation; GIS; Network Analyst.