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.
The WINGS method with multiple networks and its application to innovation projects selection
by Jerzy Michnik
Abstract: The paper presents a comprehensive method for supporting important decisions with long-term consequences for an organization. The proposed approach combines multiple Weighted Influence Non-Linear Gauge System (WINGS) networks into a single model comprising a broad analysis of benefits, opportunities, costs and risks (BOCR). Practicality of the presented solution is demonstrated with the illustrative example of selecting innovation projects.
Keywords: BOCR analysis; innovation projects selection; multiple criteria
decision analysis (MCDA); multiple networks; risk analysis; system modeling; WINGS.
A Collaborative Spatial Decision Support System Applied To Site Selection Problems
by Sarah Oufella, Djamila Hamdadou
Abstract: Nowadays, urban areas face many challenging issues; one of the most demanding is site selection. Strategic site selection issues are typically complex problems that require consideration of multiple alternatives (sites), multiple criteria, and multiple decision-makers with conflicting interests, preferences and desires. In this perspective we propose a new decision making framework based on three areas of high importance: Multi-Agent Systems, Geographic information system and Multiple-Criteria Decision Analysis. These three tools are combined in a manner so that the shortcoming of one tool is complemented by the strength of the others. To assist the decision makers in selecting the compromise alternative from a number of feasible alternatives, the proposed decision support system will be enriched with a protocol of negotiation based on argumentation approach, which allows agents (decision makers) to exchange complex justification positions rather than just simple proposals, this property of argumentation protocols can lead to faster and beneficial agreements to the group.
Keywords: Geographic information systems (GIS),Multi criteria Decision Making (MCDM)
Multi-Agent Systems (MAS),Argumentation –Based Negotiation.
Regional automobile parts makers competitive advantages analysis
by Abednico Montshiwa
Abstract: This paper presents a comparative analysis study between Asian and North American automobile parts markers perspective on competitive advantages. To undertake this task, we introduced supply chain cooperation, risk ranking and business risk management in a three phase competitive advantages model adopted from the Barney 1995 model (with slight differences). Smart PLS 3.0.was employed to analyze data. In this survey, Asian companies accounted for 60% of the responses while the remaining 40% were from North America. Both Asian and North American companies highlighted the importance of resources availability (big company size) in organizing the supply chain network. Asian companies indicated that supply chain cooperation significantly affects competitive advantages while the North American ones did not record any significant relationship. Finally, North American companies indicated that business risk management is crucial in attaining competitive advantages while their Asian rivals did not consider that vital
Keywords: Comparative Analysis; Competitive Advantages; Supply Chain Cooperation; risk ranking; Business risk management.
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.
A Two-Phase Methodology Based On MADM and Zero-One Programming for Planning Exhibition Soccer Matches
by Hassan Karimi
Abstract: It is essential to choose proper teams for exhibition games by management of sports teams. Iran soccer team as well as its opponents in the World Cup tournament needs some exhibition games. This study suggests a two-phase model for planning the exhibition football games to choose between 15 teams for exhibition games considering the cost of travels and the minimum values required for different parameters. The model has two phases. The first phase uses Multi Attribute Decision-Making Technique (MADM) technique in which each team is assigned scores based on the pre-defined parameters. Finally, the weight of each team is determined for each parameter. Weights obtained in the first phase are used as input to the second phase. In the second phase, a mathematical optimization model is proposed which is able to choose teams, organize the events and minimize the travel path from the origin to each destination and eventually to the origin (Iran). It is noteworthy that the second phase uses TSP, by the difference that, unlike TSP in which all countries must be travelled to, they are not all visited. In addition, there is one path between the two countries (origin - destination) in TSP, while different paths can exist between countries in the proposed model.
Keywords: MADM technique; exhibition games; traveling salesman problem; mathematical programming.
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.