A production and distribution planning of perishable products with a fixed lifetime under vertical competition in the seller-buyer systems: A real-world application

Aazami, Adel; Saidi‐Mehrabad, Mohammad

doi:10.1016/j.jmsy.2020.12.001

Cited by 48 publications

(12 citation statements)

References 94 publications

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“…A similar opinion was conveyed by Noroozi et al (2018) in that the integration of production-distribution in the supply chain can maximize total profits. This is in line with the study of Aazami and Saidi-Mehrabad [2], which uses distribution-production integration planning to maximize profits. On the other hand, integrating production and distribution is a significant problem in the supply chain network [3].…”

Section: Introductionsupporting

confidence: 84%

Production-Distribution Model Considering Traceability and Carbon Emission: A Case Study of the Indonesian Canned Fish Food Industry

et al. 2021

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Background: Traceability systems and carbon emissions are two important factors involved in production and distribution activities. The involvement of these two factors in production and distribution activities along the supply chain will ensure the safety and quality of food through the manufacture, packaging and distribution of products with minimal costs and in an environmentally friendly way. Objective: This study aimed to develop a model of canned fish food production and distribution integration by considering traceability and carbon emissions to minimize total costs. Method: A mixed-integer linear programming (MILP) approach was used to develop mathematical models and the optimal solution of the model created was obtained using an open-source spreadsheet solver program. Results: The results show that the proposed models produce the minimum total production and distribution cost with high traceability and low carbon emissions. Conclusions: The sensitivity analysis from this study shows that there is a significant relationship between production, carbon emissions, and the total cost of production-distribution. Moreover, it was concluded that the production level, carbon emission level, and emission threshold can have a significant influence in the generation of the total carbon emissions.

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Section: Introductionsupporting

confidence: 84%

Production-Distribution Model Considering Traceability and Carbon Emission: A Case Study of the Indonesian Canned Fish Food Industry

et al. 2021

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“…The model investigated the relation of quality loss with quality deterioration rate and transportation time and found positive relationships among these factors. Aazami and Saidi-Mehrabad (2021) developed a seller–buyer model with demand as a linear function of price, advertisement, freshness in an integrated production–distribution environment. The study promotes encouragement strategies such as discounts, return and credits at a retail level to boost customer demand.…”

Section: Literature Reviewmentioning

confidence: 99%

Distribution planning problem of a supply chain of perishable products under disruptions and demand stochasticity

Suryawanshi

Dutta

2021

IJPPM

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PurposeThe emergence of risk in today's business environment is affecting every managerial decision, majorly due to globalization, disruptions, poor infrastructure, forecasting errors and different uncertainties. The impact of such disruptive events is significantly high for perishable items due to their susceptibility toward economic loss. This paper aims to design and address an operational planning problem of a perishable food supply chain (SC).Design/methodology/approachThe proposed model considers the simultaneous effect of disruption, random demand and deterioration of food items on business objectives under constrained conditions. The study describes this situation using a mixed-integer nonlinear program with a piecewise approximation algorithm. The proposed algorithm is easy to implement and competitive to handle stationary as well as nonstationary random variables in place of scenario techniques. The mathematical model includes a real-life case study from a kiwi fruit distribution industry.FindingsThe study quantifies the performance of SC in terms of SC cost and fill rate. Additionally, it investigates the effects of disruption due to suppliers, transport losses, product perishability and demand stochasticity. The model incorporates an incentive-based strategy to provide cost-cutting in the existing business plan considering the effect of deterioration. The study performs sensitivity analysis to show various “what-if” situations and derives implications for managerial insights.Originality/valueThe study contributes to the scant literature of quantitative modeling of food SC. The research work is original as it integrates a stochastic (uncertain) nature of SC simultaneously coupled with the effect of disruption, transport losses and product perishability. It incorporates proactive planning strategies to minimize the disruption impact and the concept of incremental quantity discounts on lot sizes at a destination node.

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“…According to previous research, the potential demand depends on price as stated in Equation (1) [7,30,31]:…”

Section: Development Of Demand Functionmentioning

confidence: 99%

A Bi-objective Robust Optimization Model for an Integrated Production-distribution Problem of Perishable Goods with Demand Improvement Strategies: A Case Study

Aazami

Saidi‐Mehrabad

Seyedhosseini

2021

IJE

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This paper develops a bi-objective optimization model for the integrated production-distribution planning of perishable goods under uncertainty. The first objective seeks to maximize the profit in a specific supply chain with three levels: plants, distribution centers, and in the last level, customers. Since transportation is one of the major pollution sources in a distribution problem, the second objective is to minimize their emission. In the considered problem, the decisions of production, location, inventory, and transportation are made in an integrated structure. In developing the demand function, the effect of the product freshness and the price is formulated. Besides, to encourage customers, three strategies, including perished product return, discount, and credit policies, are proposed. Also, robust optimization is utilized to cope with the operational uncertainty of some cost parameters. To prove the applicability of this research and the feasibility of the environmental aspect, a case study is conducted. Finally, the numerical computations on the case study provide a trade-off between the environmental and economic goals and indicate a 37.5 percent increase in the profit using the developed model.

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A production and distribution planning of perishable products with a fixed lifetime under vertical competition in the seller-buyer systems: A real-world application

Cited by 48 publications

References 94 publications

Production-Distribution Model Considering Traceability and Carbon Emission: A Case Study of the Indonesian Canned Fish Food Industry

Production-Distribution Model Considering Traceability and Carbon Emission: A Case Study of the Indonesian Canned Fish Food Industry

Distribution planning problem of a supply chain of perishable products under disruptions and demand stochasticity

A Bi-objective Robust Optimization Model for an Integrated Production-distribution Problem of Perishable Goods with Demand Improvement Strategies: A Case Study

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