A fuzzy multi-objective multi-product supplier selection and order allocation problem in supply chain under coverage and price considerations: An urban agricultural case study

Abstract

KEYWORDSMulti-objective supplier selection problem; Coverage; Fuzzy logic; MOPSO; NSGA-II.Abstract. In this paper, a fuzzy multi-objective model is presented to select and allocate order to the suppliers in uncertain conditions, considering multi-period, multisource, and multi-product cases at two levels of a supply chain with pricing considerations. Objective functions considered in this study as the measures to evaluate the suppliers are the purchase, transportation, ordering costs, and timely delivering (or deference shipment quality, or wastages) which are amongst major quality aspects. Partial and general coverage of suppliers with respect to distance and nally suppliers' weights makes the amounts of product orders more realistic. Deference and coverage parameters in the model are considered as uncertain and random triangular fuzzy number. Since the proposed mathematical model is NP-hard, Multi-Objective Particle Swarm Optimization (MOPSO) algorithm is presented. To validate the performance of MOPSO, we applied non-dominated Sorting Genetic Algorithm (NSGA-II). Taguchi technique is executed to tune the parameters of both algorithms. A practical case study in an agricultural industry is shown to demonstrate that the proposed algorithm can be applied to the real-world problems. The results are analyzed using quantitative criteria, performing parametric, and non-parametric statistical analyses.

An integrated lot-sizing model with supplier and carrier selection and quantity discounts considering multiple products

“…Introducing multiple competing objectives to the problem setting can also serve as an interesting direction for the future research. There are some other related areas that can be inspiring to develop this work such as: sustainable supplier selection, green supplier selection and implementing the MADM approach to cope with new problems regarding various optimization criteria [35][36].…”

Selecting the Optimal Green Agricultural Products Supplier: A Novel Approach Based on GBWM and PROMETHEE II

“…However, from the extensive literature on classical supplier assessment and selection, only comparatively few studies have focused on the green agricultural industry [22]. Among these decision-making methods, the traditional overall ranking technique PROMETHEE attaches much importance to the evaluation information provided by experts and works on different types of criteria simultaneously, can be qualitative and quantitative, and needs much less inputs.…”

Resilience Supplier Selection and order allocation under uncertainty

“…supplier, manufacturer, distributer, and retailer) must aims to increase the total performance of the network [14]. One of the most important decisions which impacts all actors' performance is SS&OL decisions [15]. In recent years, this problem has been considered by many scholars as an integrated decision (strategic and tactical decision level) in supply chain area to achieve positional competitive advantage.…”

“…Fuzzy sets were used to solve the model under environmental uncertainties. They proposed risk and disruption are two major features for future research trend in SS&OL [15]. Recently, Gharaei, Pasandideh [10] developed a multi-objective mathematical model for SS&OL in supply chain with regard to imperfect quality products.…”

“…Hajikhani, Khalilzadeh [15] proposed a fuzzy multi-objective mathematical programming model for SS&OL with pricing considerations. Different factors have been considered as objective function including purchase, transportation, and ordering costs, timely delivering.…”