Analysis of Partner Selection Problem in Horizontal Collaboration Among Shippers

Author(s):  
Hanan Ouhader ◽  
Malika El kyal
2006 ◽  
Vol 532-533 ◽  
pp. 1104-1107
Author(s):  
Ya Dong Fang ◽  
Wei Ping He ◽  
Lai Hong Du ◽  
Jin Liang Chen ◽  
Feng Zhao ◽  
...  

According to requirement of cooperative manufacturing partner selection based on networked manufacturing environment, the paper resolves cooperative manufacturing partner selection problem by ant colony algorithm and grey relation theory: Firstly, manufacturing task is divided into series of working procedure in time order by technologic planning. Secondly, considerable candidate enterprises are selected in terms of multi-hierarchy grey relation coefficient at each working procedure node to reduce the size of problem. Lastly, cooperative enterprise selecting path is decided by making use of ant colony algorithm in light of transportation cost.


2016 ◽  
Vol 95 ◽  
pp. 467-474 ◽  
Author(s):  
Shahrzad Nikghadam ◽  
Ahmet Murat Ozbayoglu ◽  
Hakki Ozgur Unver ◽  
Sadik Engin Kilic

Kybernetes ◽  
2015 ◽  
Vol 44 (2) ◽  
pp. 220-237 ◽  
Author(s):  
Gülçin Büyüközkan ◽  
Ali Görener

Purpose – Today, customers are generally perceived to be demanding higher quality and better performing products, in shorter and more predictable development cycle-times and at a lower cost. These market pressures drive firms to collaborate with possible partners in product development (PD) processes. However, the selection of a suitable partner for an effective PD is not an easy decision and is associated with complexity. The purpose of this paper is to propose an integrated multi-criteria decision-making (MCDM) approach to effectively evaluate PD partners. Design/methodology/approach – The proposed evaluation procedure consists of several steps. First, based on a literature review and expert validation, the strategic main and sub-criteria of the PD partner selection process that companies consider the most important are identified. After constructing the evaluation criteria hierarchy, the criteria weights are calculated by applying the Analytic Hierarchy Process (AHP) method. The VIKOR (a compromise ranking) method is used to obtain the final partner ranking results. A case study is given to demonstrate the potential of the methodology. In the last part of the study, a sensitivity analysis is performed to determine the influence of criteria weights on the decision making process. Findings – The PD partner evaluation model contains three main criteria, namely, partner, collaboration and PD-oriented criteria, with 13 sub-criteria. The market position, competency of the partner, compatibility, technical expertise and complementarity are found as the most considerable evaluation criteria for the ABC case company. Results of the sensitivity analysis from different cases demonstrate that the integrated AHP-VIKOR model is quite sensitive to the weights assigned to the evaluation criteria. This finding underlines the importance of forming a capable, qualified group of experts for the decision-making procedure. The results of the empirical study show that the proposed evaluation framework is practical for solving partner selection problems. Originality/value – Partner selection is critical to the success of a collaborative PD process. The main contribution of this paper is the definition and development of an effective evaluation framework to guide managers for suitable PD partner selection. In our knowledge, there exists no study in the literature that combines the established AHP VIKOR model for PD partner selection problem. This study can be useful to researchers to better understand PD partner selection problem theoretically, as well as to organizations in designing better satisfying PD partner evaluation systems.


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