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Growing Science » Uncertain Supply Chain Management » A two-stage production planning model for perishable products under uncertainty

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Uncertain Supply Chain Management
ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print)
Quarterly Publication
Volume 5 Issue 3 pp. 201-214, 2017

A two-stage production planning model for perishable products under uncertainty Pages 201-214 PDF Download PDF

Authors: Hamid Reza Hosseini Jey, Hassan Javanshir, Amir Mohajeri

📋 Author Affiliations:
H.R. Hosseini Jey1, H. Javanshir ORCID 2, A. Mohajeri ORCID 1
1 Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran
2 Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
doi 10.5267/j.uscm.2017.1.002
Crossref 1 Source: CrossRef

🔑 Keywords: Production Planning, Manual production, Automatic production, Non-linear programming, Human force, Production machineries, Products’ spoilage

Abstract: In this study, a multi-product, multi-period and non-linear programming model is developed for production planning problem where demand is under uncertainty. The proposed study is designed for a real-world case study of chemicals production factory with 1 production line and 2 manual and automatic technologies. In manual technology, workers are working with 3 amateur, typical and professional skills in 2 typical and overtime working. Automatic technology in this system has n machines in which the repairing and maintenance of the machineries are also included. This system has n products and the products are life-limited and with diversity. The primary goal is to propose a model for improvement of the production planning and minimization of the production system costs. The products in high volume and various types are produced and they are stored in bottles as the final products. For different production periods, the human forces capacities are considered and the level of employment or forces dismissal are considered. The production process is forwarding and backward process is not acceptable; that is, it is not allowable to rework in this system. Delivering final product from stockpiles to the retailers is conducted using vehicles with limited capacity. To solve the model in larger space and because of the complexity of the model, meta-heuristic algorithm is used. Finally, it is concluded that due to covering most of the assumptions in perishable products production, the proposed model is closer to the real-world circumstances and reduces costs in production systems.

How to cite this paper
APA: Jey, H., Javanshir, H & Mohajeri, A. (2017). A two-stage production planning model for perishable products under uncertainty. Uncertain Supply Chain Management, 5(3), 201-214.
Chicago/Turabian: Jey, H., Javanshir, H & Mohajeri, A. 2017. "A two-stage production planning model for perishable products under uncertainty." Uncertain Supply Chain Management 5, no. 3 (2017): 201-214.
AMA: Jey, H., Javanshir, H & Mohajeri, A. A two-stage production planning model for perishable products under uncertainty. Uncertain Supply Chain Management. 2017;5(3):201-214.

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📚 Journal: Uncertain Supply Chain Management | 📅 Year: 2017 | 📖 Volume: 5 | 📄 Issue: 3 | 👁️ Views: 3342 | 📊 Crossref: 1

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