International Journal of Applied Decision Sciences 

About: International Journal of Applied Decision Sciences is an academic journal published by Inderscience Publishers. The journal publishes majorly in the area(s): Computer science & Supply chain. It has an ISSN identifier of 1755-8077. Over the lifetime, 276 publications have been published receiving 2010 citations.

Making decisions in hierarchic and network systems

Abstract: This paper summarises a mathematical theory of the measurement of both tangible and intangible factors, the Analytic Hierarchy Process (AHP) and its generalisation to dependence and feedback, the Analytic Network Process (ANP) and illustrates their application to making complex multicriteria decisions.

Analysis of interactions among sustainability supplier selection criteria using ISM and fuzzy DEMATEL

Abstract: Sustainable supply chain management has received much attention form researchers and practitioners over the past decade owing to the increasing awareness regarding environmental and social issues. Accordingly, organisations come under pressure from a number of both internal and external sources including employees, customers, competitors, socially aware organisations, communities, governments, and non-governmental organisations to act in a more socially responsible way. As a result, more authors are beginning to address supplier selection problems in light of sustainability criteria. However, the interrelationships among sustainability supplier selection criteria have rarely been discussed in the research literature. This study is aimed primarily at finding and analysing such interactions. We made use of interpretive structural modelling to extract the interrelationships among sustainability criteria and fuzzy decision-making trial and evaluation laboratory to determine the intensity of these relationships. A case study in the gas industry is presented to demonstrate the feasibility and efficacy of the proposed approach.

Bipolar fuzzy soft expert set and its application in decision making

Abstract: In this paper, we extend the two concepts of bipolar fuzzy sets and soft expert sets to bipolar fuzzy soft expert sets. We will define its basic theoretic operation, namely complement, union, intersection, AND and OR on bipolar fuzzy soft expert sets along with illustrative examples, and study some related properties with supporting proofs. The basic properties and relevant laws pertaining to this concept are proven. We then construct an algorithm based on this concept. Finally, we apply it to a decision-making problem to demonstrate the applicability of the proposed method. It is shown that this concept is effective in solving decision-making problems using an illustrative example.

An evolutionary programming approach for solving the capacitated facility location problem with risk pooling

Abstract: In this paper, we propose a genetic algorithm as an alternative technique for solving the capacitated facility location problem with risk pooling (CLMRP). The CLMRP is a joint location-inventory problem involving a single supplier and multiple retailers that face stochastic demand. Due to the stochasticity of demand associated with each retailer, risk pooling may be achieved by allowing some retailers to serve as distribution centres (DCs). This is a combinatorial optimisation problem that has been shown to be NP-hard. A genetic algorithm that is computationally very efficient is developed to solve the problem. A computational experiment is conducted to test the performance of the developed technique and computational results are reported. The algorithm can easily find optimal or near optimal solutions for benchmark test problems from the literature, where the Lagrangian relaxation approach was used.

Applying a hybrid BWM-VIKOR approach to supplier selection: a case study in the Iranian agricultural implements industry

Abstract: In today's economy, due to the importance of quality and quantity of the product, supplier selection plays a significant role in procurement planning of each factory. Agricultural implements industry is one of the industries included in this sensitivity. Thus, in this paper a supplier selection framework for this industry is considered. For this purpose, a strong approach, namely best worst method (BWM) along with a well-known MCDM technique with the name of VIKOR are employed. At first, the criteria with a view to the literature review and opinions of industry experts are identified. Afterward weights of the criteria are obtained by BWM and then candidate suppliers are ranked by using BWM and VIKOR. In order to check the quality of expert's inputs, the consistency tests are applied. Moreover, to investigate the robustness of the approach sensitivity analysis is considered. Finally, according to the obtained results, it is clear that proposed framework could be effective like as existing approaches for supplier selection problems. Also, agricultural managers implementing industries need simple methodologies to select the proper suppliers and improve their situation.