A three-echelon supply chain for economic growing quantity model with price- and freshness-dependent demand: Pricing, ordering and shipment decisions

Sebatjane, Makoena; Adetunji, Olufemi

doi:10.1016/j.orp.2020.100153

Cited by 30 publications

(16 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They used two types of the recovery process: remanufacturing, refurbishing, and applied carbon emission and Stackelberg game with green technology. Sebatjane and Adetunji [32] introduced a three-echelon supply chain model with price and freshness-dependent demand. Yadav et al [53] discussed a sustainable supply chain model with preservation technology and cross-price elasticity of demand.…”

Section: Inventory Model Based On Mescmmentioning

confidence: 99%

Joint replenishment strategy for deteriorating multi-item through multi-echelon supply chain model with imperfect production under imprecise and inflationary environment

Padiyar

vandana²,

Bhagat

et al. 2022

RAIRO-Oper. Res.

View full text Add to dashboard Cite

As the industry environment becomes more competitive, the supply chain management for multi items has become an essential part of the industries. In this paper, a multi-echelon inventory model for deteriorating multi items with imperfect production has been developed under the environment of fuzzy and inflation. In this study, a single producer, multi-supplier, and multi-retailer are considered from the integrated point of view. Here, the producer only produces the retailer's need to have a tremendous advantage and minimum loss. It is observed that the inflation rate is almost uncertain for deteriorating goods in every supply chain. In this paper, the inflation rate is taken as a triangular fuzzy number, and the centroid method is used to defuzzify the profit function. The shortage is not allowed in any part, an imperfect production process is also considered, but it is not reworkable in this supply chain. Different inflation rates are considered for additional items because inflation has strained the most vulnerable consumers (the daily wage earners), who mainly demand goods in short and small quantities. This entire model is developed based on the retailer's demand and due to which the profit potential is maximized. The central premise of this study is to get maximum benefit by creating a production model for deterioration items. Finally, a numerical example and sensitivity analysis illustrate the present study. It is also observed that if the number of shipments taken from the supplier increases during the production period, the total profit increases in crisp and fuzzy. If a positive change occurs in the number of shipments received through the producer to the retailer, then the fuzzy model has positive, but a slight negative change occurs in the crisp model. This paper shows the effect of a joint replenishment policy for multi-item compared with the independent approaches.

show abstract

Section: Inventory Model Based On Mescmmentioning

confidence: 99%

Joint replenishment strategy for deteriorating multi-item through multi-echelon supply chain model with imperfect production under imprecise and inflationary environment

Padiyar

vandana²,

Bhagat

et al. 2022

RAIRO-Oper. Res.

View full text Add to dashboard Cite

show abstract

“…The investigation approaches include mathematical modeling and optimization (e.g., mixed integer linear programming, multi-objective programming, mixed integer programming, integer programming, etc), and simulation. Among them, Sebatjane & Adetunji (2020) designed a three-echelon poultry supply chain network including farming, processing, and consumption (retail) components. Their proposed model showed that customer demands are largely dependent on the selling price and the expiration date.…”

Section: Literature Reviewmentioning

confidence: 99%

A multi-period multi-modal stochastic supply chain model under COVID pandemic: A poultry industry case study in Mississippi

Yazdekhasti¹,

Wang

Zhang

et al. 2021

Transportation Research Part E: Logistics and Transportation Re

View full text Add to dashboard Cite

The poultry industry is one of the most important agricultural sectors, which constitutes a significant part of the per capita consumption of protein and meat. Integrating operations of poultry industry sections including production, distribution and consumption becomes vital. Although the proper poultry supply chain has been established and made plenty of benefits for a long time, the global outbreak of COVID-19 shows that operations under pandemic are still challenge for the poultry industry. In this paper, the impacts of pandemic on poultry industry is investigated by developing a multi-period multi-modal stochastic poultry supply chain. Two models are developed aiming to mitigate the negative effects of pandemic occurrence through product stocking policy. In the first model, distribution system is in accordance with a multi-component structure, while the second model allows direct connections between suppliers (farmers) and demanders (customers). In both models, poultry productions are negatively affected by COVID 19. Due to the complexity of the model, a hybrid solution approach based on Branch and Cut and Dynamic Programming is developed. To validate the performance of the proposed model and solution procedure, a case study on the broiler industry in the state of Mississippi is performed. The results show that storing poultry products in the pre-pandemic along with direct logistics during pandemic period can save the broiler supply chain cost up to 30%.

show abstract

“…They introduce the case where the deterioration rate is a function of the inventory level. Sebatjane and Adetunji (2020), Shen et al (2020); Hashemi et al (2020) present an inventory management model, capable of handling freshness-and price-dependent demand, for a perishable product supply chain.…”

Section: Towards a Socially Sustainable Inventory Optimizationmentioning

confidence: 99%

Towards a Socially Sustainable Inventory Optimization

Pannakkong¹,

Thi²,

Olapiriyakul³

2021

Proceedings of the 18th International Symposium on Management (INSYMA 2021)

View full text Add to dashboard Cite

Inventory optimization is one of the critical decisions in perishable product supply chain management. This study develops a bi-objective inventory optimization model for perishable products. The model can determine the optimal order quantities that fulfill customer demand over time while simultaneously maximizing the profit and minimizing the freshness loss of products at the point of demand fulfillment. The fresh-ness loss value is regarded as the social sustainability performance metric. It is expected that the minimization of freshness loss contributes to the improved well-being of customers. The proposed model can track the product's remaining shelf life and account for the amount of waste generated when it is expired. A numerical case is provided to demonstrate the utility of the model and the decision-making process that deals with the tradeoff between cost and freshness level. The proposed concept and methodology can serve as the basis for the future development of sustainable supply chain management, focusing on the social impacts.

show abstract

A three-echelon supply chain for economic growing quantity model with price- and freshness-dependent demand: Pricing, ordering and shipment decisions

Cited by 30 publications

References 30 publications

Joint replenishment strategy for deteriorating multi-item through multi-echelon supply chain model with imperfect production under imprecise and inflationary environment

Joint replenishment strategy for deteriorating multi-item through multi-echelon supply chain model with imperfect production under imprecise and inflationary environment

A multi-period multi-modal stochastic supply chain model under COVID pandemic: A poultry industry case study in Mississippi

Towards a Socially Sustainable Inventory Optimization

Contact Info

Product

Resources

About