Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain

An interactive possibilistic programming approach for multiple objective supply chain master planning

During recent years, how to determine suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of supplier selection is a complex multi-criteria problem including both quantitative and qualitative factors which may be in conflict and may also be uncertain. The VIKOR method was developed to solve multiple criteria decision making (MCDM) problems with conflicting and non-commensurable (different units) criteria, assuming that compromising is acceptable for conflict resolution, the decision maker wants a solution that is the closest to the ideal, and the alternatives are evaluated according to all established criteria. In this paper, linguistic values are used to assess the ratings and weights for these factors. These linguistic ratings can be expressed in trapezoidal or triangular fuzzy numbers. Then, a hierarchy MCDM model based on fuzzy sets theory and VIKOR method is proposed to deal with the supplier selection problems in the supply chain system. A numerical example is proposed to illustrate an application of the proposed model.

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Group decision making process for supplier selection with VIKOR under fuzzy environment

A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information

Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry

Supplier selection and order lot sizing modeling: A review

Network flow-based approaches for integrated aircraft fleeting and routing

We describe models and exact solutions approaches for an integrated aircraft fleeting and routing problem arising at TunisAir. Given a schedule of flights to be flown, the problem consists of determining a minimum cost route assignment for each aircraft so as to cover each flight by exactly one aircraft while satisfying maintenance activity constraints. We investigate two tailored approaches for this problem: Benders decomposition and branch-and-price. Computational experiments conducted on real-data provide evidence that the branch-and-price approach outperforms the Benders decomposition approach and delivers optimal solutions within moderate CPU times. On the other hand, the Benders algorithm yields very quickly high quality near-optimal solutions.

Exact approaches for integrated aircraft fleeting and routing at TunisAir

This paper addresses a Flexible Aircraft Fleeting and Routing Problem, which is motivated by the Tunisian national carrier TunisAir. A solution to this problem specifies the departure time of each flight, the subset of aircraft to be chartered or rented out, the individual aircraft assigned to each flight, as well as the sequence of flights to be flown by each aircraft. The objective is to maximize the expected total net profit, while satisfying activity constraints and long-term maintenance requirements. Tailored optimization-based heuristics are developed for solving this complex integrated problem. Computational experiments conducted on real data demonstrate that the proposed procedures are effective and robust, and significantly improve upon TunisAir's solutions.

Flexible aircraft fleeting and routing at TunisAir

Multidisciplinary outpatient clinics are healthcare structures that group together a set of units dealing with patients who require a series of cares and medical examinations. They are generally characterised by very complex processes due to a high number of activities and resources and a large exchange of different types of flows between multiple stakeholders. For these organisations, the greatest challenge is providing timely cares expressed by close appointments as well as reduced lead time and homecomings. To reach this aim, we propose a systematic BPMN-VSM based process analysis approach in order to enhance efficiency. It operates in four steps: (i) modelling the Patient Care Delivery Process, (ii) mapping the Critical Patient Pathway (iii) outlining the bottlenecks and the possible causes of increased lead-times and homecomings, and (iv) identifying avenues for improvement. To assess the applicability of our approach, we conducted an action research in a Tunisian multidisciplinary outpatient clinic. The results show complementarities between the BPMN and VSM tools. Findings also reveal that the proposed approach was able to propose avenues for future improvement to remedy the identified inefficiencies. 

Najla Aissaoui

Papers

Supplier selection and order lot sizing modeling: A review

Network flow-based approaches for integrated aircraft fleeting and routing

Exact approaches for integrated aircraft fleeting and routing at TunisAir

Flexible aircraft fleeting and routing at TunisAir

A BPMN-VSM based process analysis to improve the efficiency of multidisciplinary outpatient clinics