Novel Single-Valued Neutrosophic Combined Compromise Solution Approach for Sustainable Waste Electrical and Electronics Equipment Recycling Partner Selection

In this paper, a multi-objective, multi-product, multi-period production and transportation planning problem in the context of a multi-site supply chain is proposed. The developed model attempts simultaneously to maximize the profit and to maximize the product quality level. The objective of this paper is to provide the decision maker with a front of Pareto optimal solutions and to help him to select the best Pareto solution. To do so, the epsilon-constraint method is adopted to generate the set of Pareto optimal solutions. Then, the technique for order preference by similarity to ideal solution (TOSIS) is used to choose the best compromise solution. The multi-criteria optimization and compromise solution (VIKOR), a commonly used method in multiple criteria analysis, is applied in order to evaluate the selected solutions using TOPSIS method. This paper offers a numerical example to illustrate the solution approach and to compare the obtained results using TOSIS and VIKOR methods.

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Data envelopment analysis with common weights: the compromise solution approach

Journal of the Operational Research Society ◽

10.1057/palgrave.jors.2601924 ◽

2005 ◽

Vol 56 (10) ◽

pp. 1196-1203 ◽

Cited By ~ 149

Author(s):

C Kao ◽

H-T Hung

Keyword(s):

Data Envelopment Analysis ◽

Data Envelopment ◽

Compromise Solution ◽

Solution Approach ◽

Common Weights

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A compromise solution approach for finding common weights in DEA: an improvement to Kao and Hung's approach

Journal of the Operational Research Society ◽

10.1057/jors.2009.4 ◽

2010 ◽

Vol 61 (4) ◽

pp. 604-610 ◽

Cited By ~ 37

Author(s):

M Zohrehbandian ◽

A Makui ◽

A Alinezhad

Keyword(s):

Compromise Solution ◽

Solution Approach ◽

Common Weights

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Sustainable partner selection for collaborative networked organisations with risk consideration in the context of COVID-19

Journal of Global Operations and Strategic Sourcing ◽

10.1108/jgoss-11-2020-0069 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Yvonne Badulescu ◽

Ari-Pekka Hameri ◽

Naoufel Cheikhrouhou

Keyword(s):

Selection Process ◽

Fuzzy Ahp ◽

Partner Selection ◽

Analytic Hierarchy ◽

Content Type ◽

Solution Approach ◽

Novel Approach ◽

Force Majeure ◽

The Face ◽

Selection For

Purpose Collaborative networked organisations (CNO) are a means of ensuring longevity and business continuity in the face of a global crisis such as COVID-19. This paper aims to present a multi-criteria decision-making method for sustainable partner selection based on the three sustainability pillars and risk. Design/methodology/approach A combined analytic hierarchy process (AHP) and fuzzy AHP (F-AHP) with Technique for Order of Preference by Similarity to Ideal Solution approach is the methodology used to evaluate and rank potential partners based on known conditions and predicted conditions at a future time based on uncertainty to support sustainable partner selection. Findings It is integral to include risk criteria as an addition to the three sustainability pillars: economic, environmental and social, to build a robust and sustainable CNO. One must combine the AHP and F-AHP weightings to ensure the most appropriate sustainable partner selection for the current as well as predicted future period. Research limitations/implications The approach proposed in this paper is intended to support existing CNO, as well as individual firms wanting to create a CNO, to build a more robust and sustainable partner selection process in the context of a force majeure such as COVID-19. Originality/value This paper presents a novel approach to the partner selection process for a sustainable CNO under current known conditions and future uncertain conditions, highlighting the risk of a force majeure occurring such as COVID-19.

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