Abstract
Improved Meta-Heuristic for Multi-Objective Integrated Procurement, Production and Distribution Problem of Supply Chain Network Under Fuzziness Uncertainties
Highlights
Given the current trends in globalization Douaioui et al (2018), many companies are increasingly sourcing, producing and marketing their products around the world
The second Objective function (OTD) is considered to maximize the on-time deliveries to ensure a continuous flow of production and minimize the plant stoppages due to unavailability of raw materials items
This model considers technological constraints issuing a lot of supply chain network in world that aims to minimize the total costs such as production, storage and distribution as well as maximize the on-time deliveries to ensure a continuous flow of production and minimize line stoppages in plants due to unavailability of raw materials items
Summary
Given the current trends in globalization Douaioui et al (2018), many companies are increasingly sourcing, producing and marketing their products around the world. It should be noted that the challenges associated with the variability of demand are accentuated by the length of the manufacturing period and the transport conditions All these factors make planning and scheduling of the supply chain a challenged task. As reported by Klibi et al (2010), any supply chain planning that relies on deterministic conditions risks losing its durability They mention that in some cases, it is not enough for the company to consider usual parameters such as demand, prices, or other parameters such as random variables, but undesirable events such as terrorist attacks and natural disasters. (vi) To solve the developed model in the largest instances, a hybrid metaheuristic based on a recent algorithm called Hunger Game Search (HGS) is proposed.
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