Simultaneous selection of material and supplier under uncertainty in carton box industries: a fuzzy possibilistic multi-criteria approach

Mosallaeipour, Sam; Mahmoodirad, Ali; Niroomand, Sadegh; Vízvári, Béla

doi:10.1007/s00500-017-2542-6

Cited by 23 publications

(10 citation statements)

References 40 publications

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“…For this aim some assumptions are considered and explained below, The uncertain parameters of the formulation ) in all of the experiments are considered as zigzag type. As the final crisp formulations are of bi‐objective, some multi‐objective solution approaches of the literature are considered to solve them. These methods are TH (Torabi & Hassini, 2008), Niroomand (Niroomand, 2018), and MMNV (Mosallaeipour, Mahmoodirad, Niroomand, & Vizvari, 2017) which are hybrid versions of the fuzzy programming approach. The related sources of these approaches can be referred for more details.…”

Section: Computational Studymentioning

confidence: 99%

“…It is notable to mention that the value of the parameters are generated in the ranges of the generated values of the example of previous sub‐section. Other than the TH and Niroomand approaches, another multi‐objective solution approach of the literature MMNV approach (Mosallaeipour et al, 2017) is used to solve the crisp formulations.…”

Section: Computational Studymentioning

confidence: 99%

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Uncertain location–allocation decisions for a bi‐objective two‐stage supply chain network design problem with environmental impacts

Mahmoodirad

Niroomand²

2020

Expert Systems

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In the cases that the historical data of an uncertain event is not available, belief degree-based uncertainty theory is a useful tool to reflect such uncertainty. This study focuses on uncertain bi-objective supply chain network design problem with cost and environmental impacts under uncertainty. As such network may be designed for the first time in a geographical region, this problem is modelled by the concepts of belief degree-based uncertainty theory. This article is almost the first study on belief degree-based uncertain supply chain network design problem with environmental impacts. Two approaches such as expected value model and chanceconstrained model are applied to convert the proposed uncertain problem to its crisp form. The obtained crisp forms are solved by some multi-objective optimization approaches of the literature such as TH, Niroomand, MMNV. A deep computational study with several test problems are performed to study the performance of the crisp models and the solution approaches. According to the results, the obtained crisp formulations are highly sensitive to the changes in the value of the cost parameters. On the other hand, Niroomand and MMNV solution approaches perform better than other solution approaches from the solution quality point of view.

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Section: Computational Studymentioning

confidence: 99%

Section: Computational Studymentioning

confidence: 99%

Uncertain location–allocation decisions for a bi‐objective two‐stage supply chain network design problem with environmental impacts

Mahmoodirad

Niroomand²

2020

Expert Systems

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“…One of the best methods for dealing with this category of problems is the "uncertainty theory" introduced by [31] and [32], which has attracted lots of attention recently [33]- [35]. Similarly, [36] utilized the concept of uncertainty theory to successfully solve an uncertain supplier-material selection problem. The concept is based on the expected value of the fuzzy variables and the degree to which an independent fuzzy variable will be greater than or equal to another independent fuzzy variable in a fuzzy possibilistic programming approach.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…In this study, customer demands, the costs of opening a new facility, the costs of drone procurement and the distance capacity of the drones are considered as uncertain variables for which fuzzy variables are employed to reflect their uncertain characteristics. These characteristics create a suitable problem setting for utilizing the possibilistic approach; however, slight modifications might be required before this method can be utilized [36]. It should be noted that the possibilistic approach…”

Section: Accepted Manuscriptmentioning

confidence: 99%

A congested capacitated multi-level fuzzy facility location problem: An efficient drone delivery system

Shavarani

Mosallaeipour

Golabi³

et al. 2019

Computers & Operations Research

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Online retailers invest an enormous amount of funds in delivering products to customers. In recent years, these delivery costs have increased as a result of changes in fuel costs, which has brought new challenges to retailers in terms of offering competitive prices. Many retailers have begun to utilize a drone-based aerial delivery system as an alternative solution to overcome the problems related to the high transportation costs and traffic jams in large cities. This study provides a mathematical model for minimizing the total costs of the aerial delivery system concerned with refuel stations, warehouses, drone procurement, and transportation. The waiting time of the customers is restricted based on the M/G/K queueing system. The fuel stations and warehouses are the main components of the network. The demand (occurring at the lowest level) is ultimately satisfied via launch stations (the network's highest level). Refuel stations support drones along their long routes between the launch stations and demand points. To account for the different levels of the facilities, a multi-level facility location approach is utilized. Moreover, the nondeterministic nature of the problem is tackled using fuzzy variables. The ultimate mathematical model is a congested fuzzy capacitated multi-level facility location problem that is solved by the possibilistic approach.

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“…The company that is studied in this research as was previously studied by Mosallaeipour, Mahmoodirad, Niroomand, and Vizvari (2017) produces various dimensions of carton boxes proportional to its customer's desires. The required raw materials for this aim are raw sheets of the carton that are given by the suppliers of the company with requested sizes.…”

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confidence: 99%

A hybrid solution approach for fuzzy multiobjective dual supplier and material selection problem of carton box production systems

Niroomand¹,

Mahmoodirad

Mosallaeipour

2018

Expert Systems

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A novel optimization problem of carton box manufacturing industries is introduced in this paper. A mixed integer linear formulation with multiple objective functions is developed in order to determine the value of some criteria of carton raw sheets such as size, amount, and supplier under simultaneous minimization of multiple goals such as purchasing cost of raw sheets under discount policy, wastage remained from raw sheets, and quantity of surplus of carton boxes. In order to cope with the unstable market of this sector, some parameters of the proposed formulation such as demand value of the products and price given for raw sheets are assumed to be fuzzy numbers. To tackle such fuzzy multiobjective problem, first, the fuzzy problem is converted to a crisp form using the concepts of necessity‐based chance‐constrained modelling approach. Then a new hybrid form of the fuzzy programming approach is proposed to solve the obtained crisp multiobjective problem effectively. Computational experiments on a real case given by a carton box factory show the superior result of the proposed solution approach compared with the well‐known multiobjective solution methods taken from the literature.

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Simultaneous selection of material and supplier under uncertainty in carton box industries: a fuzzy possibilistic multi-criteria approach

Cited by 23 publications

References 40 publications

Uncertain location–allocation decisions for a bi‐objective two‐stage supply chain network design problem with environmental impacts

Uncertain location–allocation decisions for a bi‐objective two‐stage supply chain network design problem with environmental impacts

A congested capacitated multi-level fuzzy facility location problem: An efficient drone delivery system

A hybrid solution approach for fuzzy multiobjective dual supplier and material selection problem of carton box production systems

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