Wyniki wyszukiwania - BazTech

Ograniczanie wyników

2 Foundations of Computing and Decision Sciences

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Designing a Mathematical Model to Solve the Uncertain Facility Location Problem Using C Stochastic Programming Method

Chetthamrongchai Paitoon, Sayed Biju Theruvil, Artemova Elena Igorevna, Sharma Sandhir, Oudah Atheer Y., Al-Nussairi Ahmed Kateb Jumaah, Bashar Bashar S., Iswanto A. Heri

Foundations of Computing and Decision Sciences

2023

Vol. 48, No. 3

345--355

Locating facilities such as factories or warehouses is an important and strategic decision for any organization. Transportation costs, which often form a significant part of the price of goods offered, are a function of the location of the plans. To determine the optimal location of these designs, various methods have been proposed so far, which are generally definite (non-random). The main aim of the study, while introducing these specific algorithms, is to suggest a stochastic model of the location problem based on the existing models, in which random programming, as well as programming with random constraints are utilized. To do so, utilizing programming with random constraints, the stochastic model is transformed into a specific model that can be solved by using the latest algorithms or standard programming methods. Based on the results acquired, this proposed model permits us to attain more realistic solutions considering the random nature of demand. Furthermore, it helps attain this aim by considering other characteristics of the environment and the feedback between them.

Design a Mathematical Planning Approach to Optimize the Supply Chain Taking Into Account Uncertainties In Distributors

Chetthamrongchai Paitoon, Dayupay Johnry, Alshiqi Sevdie, Alghazali Tawfeeq Abdulameer Hashim, Iswanto A. Heri, Cavaliere Luigi Pio Leonardo, Al-Nussairi Ahmed Kateb Jumaah, Mohmmed Karrar Hatif, Kadhim Mustafa M.

Foundations of Computing and Decision Sciences

2022

Vol. 47, No. 4

409--420

With the globalization of markets and increasing competition in global markets, the attempts of organizations to survive in this market has increased and has resulted in the emergence of the philosophy of Supply Chain Management. There is uncertainty in the reliability of supply chain facilities for reasons such as natural disasters, terrorist attacks, labor errors, and weather conditions. Therefore, when making strategic decisions, the system will continue to operate with minimal damage. Over the course of this study, the uncertainty of supplier layers in the supply chain has been modeled. To meet that aim, the issue of supply chain, including producers, warehouses, suppliers and consumers are considered. To calculate the cost of breakdowns due to the non-functioning of distributors, the scenario-building method has been utilized. Finally, the desired model is solved with Gomez software and the results are presented. The result of the study demonstrate the efficiency of this model in the facility location decision-making in supply chains.