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.
Price Timing in New Markets with Strategic Consumers
by Zhaoqiong Qin, Charles Mambula
Abstract: We analyze the competitive price timing decisions of both e-tailers (online sellers) and brick-mortar retailers for a new product. Firms may announce the price early (when the products valuation for consumers is highly uncertain) or late (when the uncertainty of the products valuation has been resolved). Both firms choose the timing and price level to maximize their own expected profits. We find that firms always choose to announce the price late when they monopoly the market. However, when both firms compete against each other and duopoly the market, both firms announce the price late when the uncertainty of the products valuation is high and the online acceptance rate is low; by contrast, one of them takes a leadership role and announces the price early whereas the other one follows and announces late when the uncertainty of the products valuation is low and the online acceptance rate is high.
Keywords: price timing; uncertainty; online acceptance rate; competition; game theory.
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.
Special Issue on: Applied Logistics Management
Personalized Information Services for Bikers
by Dávid Földes, Csaba Csiszár
Abstract: Modal share of cycling is growing; however, information services are to be significantly improved. Our research aim was to reveal, how the available real-time data can be used to support bikers and to ease decision making by provision of personalized information. We have identified the categories of biker information services and then the route planner applications have been analysed in order to point out the exemplary solutions. The attributes of mobility and information management, as well as their correspondences have been revealed in order to develop appropriate information services. We have carried out a questionnaire survey to identify bikers habits and expectations towards information services. An analysis method has been elaborated which is applicable to determine the correspondences between mobility and information management attributes. The results are to be applied as bases during development of adaptive, personalized information application aiding decisions.
Keywords: behaviour; cycling; decision support; route planner; information management; information service; personalization.
Examination of importance and range of comprehensive service for refrigerated containers in seaports
by Ludmila Filina-Dawidowicz, Teresa Gajewska
Abstract: The article concerns the problems of comprehensive service for refrigerated cargo performed at maritime container terminals. It aims to determine the services range forming the comprehensive service of refrigerated containers in seaports and to examine the opinion of container terminals on customer satisfaction with the complexity of handling refrigerated containers. An approach to assess the customer satisfaction with the complexity of handling refrigerated containers has been proposed. The results of the survey conducted at 5 Polish maritime container terminals have been analysed. The research revealed that according to the seaports opinion the comprehensive service is important for their customers. The high-level customer satisfaction and shorter service time are the main benefits of service. The importance rating for services groups within comprehensive service of analysed cargo has been analysed. It was stated that seaports need to strengthen the implementation of logistic services group for refrigerated containers under their comprehensive service.
Keywords: Comprehensive service; customer satisfaction; refrigerated containers; quality of services; seaports.
Multi-criteria Approach for Assessing the Logistics Performance of Industrial Purchase: Empirical Study of Tunisian Manufacturing Company.
by Mohamed Mahjoub Dhiaf, Taicir Loukil, Sawssen Ammar
Abstract: In this paper, we will develop a multi-criteria methodology of evaluation of the purchase logistics performance. This methodology is based on the logic of logistics purchase decomposition in the form of processes and sub-processes. This elementary decomposition is the tool that will allow us to reach the levers that will generate the performance of the Purchase within each process in order to carry out the determination of the performance of each process and after the overall performance of whole Purchase. Achieving this goal has required the use of multi-criterion tools to support the decision -PROMETHEEII. The choice of this method is not arbitrary since it exceeded our research objectives. In addition, the validation of this approach has resulted in an industrial context in a furniture manufacturing group. The obtained results show that the purchase of this group is generally not performing. The sources of non-performance are due to malfunctions at the sub-processes levels 1 and 3 i.e. levels of flexibility, responsiveness, innovation and marketing-Purchase.
Keywords: Industrial Purchase; Performance; Multi-criteria evaluation; Promethee II.
Healthcare Decision Support Tool: Multi-Agent System for Bed Management
by Nesrine Zoghlami
Abstract: The effective management of the allocation of limited resources such as beds is a key to the delivery of timely, high quality and low cost healthcare. However, an efficient utilization of beds is not easy to accomplish because of the complexity of the healthcare system and the higher amount of problems that the hospitals are facing such as the overcrowding. Moreover, in order to solve these problems, effective bed management remains one of the prominent solution for the majority of hospitals. Several studies have investigated the problem of bed management and proposed numerous models, tools and recommendations in order to help healthcare professionals to manage inpatient beds in the hospitals and minimize the risk of not having a bed when it
Keywords: Multi-agent System; decision support system; bed management.