The Design of a Multi-Period and Multi-Echelon Perishable Goods Supply Network under Uncertainty

Meidutė‐Kavaliauskienė, Ieva; Yıldırım, Figen; Ghorbani, Shahryar; Činčikaitė, Renata

doi:10.3390/su14042472

Cited by 13 publications

(8 citation statements)

References 37 publications

(40 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Much research has also been conducted to find an efficient routing policy for perishable goods. (Meidute-Kavaliauskiene et al, 2022) addressed a VRP multi-period and multi-echelon perishable supply chain problem concerning procurement time, cycle cost, and customer satisfaction. This study presented a new form accounting for environmental considerations, cost, procurement time, and customer satisfaction, such that the total costs, delivery time, and the emission of pollutants in the network were minimized while customer satisfaction was maximized.…”

Section: Literature Reviewmentioning

confidence: 99%

Production and distribution planning, scheduling and routing problem in a yogurt supply chain under robust fuzzy uncertainty: a case study

javadi,

Akbari,

Salimzadeh

et al. 2023

Preprint

View full text Add to dashboard Cite

Regarding the gradual evolution of the food industry and all challenges it faces, like the high perishability of the product, managing the food industry supply chain has become an attractive issue for researchers and decision-makers. Over time the integration of uncertain aspects has continuously gained importance for managerial decision-making. Among these, the industry of yogurt products is one of the most challenging industries. In this study, we investigate the problem of production and distribution planning, scheduling, and routing in the yogurt industry supply chain network. The problem is a multi-product, single plant, multi-distribution center, multi-period, and multi-transportation track. A mixed-integer non- linear programming (MINLP) model is presented to minimize the total costs, including production, setup, overtime, unmet demand, and transportation. Besides, a robust fuzzy programming approach is applied to the problem under uncertainty. A meta-heuristic approach based on the Genetic algorithm was developed to solve the problem. In addition, the required modifications to make GA applicable are the problem mentioned. Tested experiments indicate that the proposed algorithm has an average gap of less than 0.4 percent from the optimal solution within a reasonable time. A real-world case is considered, and the proposed GA method compared to CPLEX and the results show the effectiveness of the model and the average objective function had approximately a 10% improvement.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Production and distribution planning, scheduling and routing problem in a yogurt supply chain under robust fuzzy uncertainty: a case study

javadi,

Akbari,

Salimzadeh

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…In the figure, the demand for fresh bananas tends to be stationary because the demand is already considered to be the same as the needs of the nine basic commodities consumed daily. The fresh fruit supply chain is characterized by long supply lead-times combined with significant supply and demand uncertainties and relatively thin margins [2]. To meet the demand for fresh bananas, several governments and private agencies have started competing to provide fresh bananas to the people of Indonesia.…”

Section: Introductionmentioning

confidence: 99%

Optimal Routing in Supply Chain Network Design

Prasetyawati,

Mutmainah,

Sudarwati

et al. 2024

JESA

View full text Add to dashboard Cite

This study aims to design a transportation network in a fresh banana supply chain to minimize the distance, route, and vehicles. The design of the network is based on graph theory, which is the Cheapest Insertion Heuristic Algorithm for Traveling Salesman Program, and is expected to guarantee fresh banana products in a supply chain starting from a supplier of seed, compound fertilizer, PTPN VIII, distribution center (ripening stage), retailers, and consumers. Design of the transportation system in the supply chain of fresh bananas. There are two distribution centers and 26 retail locations in the two cities that must guarantee the availability of fresh bananas to meet the demands of the community in West Java Province. The distribution of fresh bananas in a transport system uses the cheapest insertion heuristic algorithm. Optimization of a fresh banana transportation system will streamline supply chain activities in PTPN VIII, thus ensuring the fulfillment of the demand and availability of fresh banana products in West Java Province. This research has implications for the performance of PTPN VIII in improving the optimization of fresh banana supply chain systems. This study will explicitly describe the distance, routes and optimum vehicle types in order to minimize transportation costs, resulting in a transportation cost reduction of 25.24%.

show abstract

“…Perishable products refer to goods whose quality or quantity gradually decays or deteriorates with time (e.g., pharmaceutical products, dairy products, fruits, vegetables, flowers, and blood products) [1,2]. These products have attracted increasing attention from academics and industries in recent years for their fundamental importance in many industries and trade environments and close relations to human lives [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Sustainable Supply Chain Network for Perishable Products

Pan,

Shan

2024

Sustainability

View full text Add to dashboard Cite

In today’s perishable products industry, the importance of sustainability as a critical consideration has significantly increased. This study focuses on the design of a sustainable perishable product supply chain network (SPPSCN), considering the factors of economics cost, environmental impacts, and social responsibility. The proposed model is a comprehensive production–location–inventory problem optimization framework that addresses multiple objectives, echelons, products, and periods. To solve this complex problem, we introduce three hybrid metaheuristic algorithms: bat algorithm (BA), shuffled frog leaping algorithm (SFLA), and cuckoo search (CS) algorithm, all hybrid with variable neighbourhood search (VNS). Sensitivity to input parameters is accounted for using the Taguchi method to tune these parameters. Additionally, we evaluate and compare these approaches among themselves and benchmark their results against a reference method, a hybrid genetic algorithm (GA) with VNS. The quality of the Pareto frontier is evaluated by six metrics for test problems. The results highlight the superior performance of the bat algorithm with variable neighbourhood search. Furthermore, a sensitivity analysis is conducted to evaluate the impact of key model parameters on the optimal objectives. It is observed that an increase in demand has a nearly linear effect on the corresponding objectives. Moreover, the impact of extending raw material shelf life and product shelf life on these objectives is limited to a certain range. Beyond a certain threshold, the influence becomes insignificant.

show abstract

The Design of a Multi-Period and Multi-Echelon Perishable Goods Supply Network under Uncertainty

Cited by 13 publications

References 37 publications

Production and distribution planning, scheduling and routing problem in a yogurt supply chain under robust fuzzy uncertainty: a case study

Production and distribution planning, scheduling and routing problem in a yogurt supply chain under robust fuzzy uncertainty: a case study

Optimal Routing in Supply Chain Network Design

Optimization of Sustainable Supply Chain Network for Perishable Products

Contact Info

Product

Resources

About