Application of fuzzy optimization to a supply chain network design: A case study of an edible vegetable oils manufacturer

Paksoy, Turan; Pehlivan, Nimet Yapıcı; Özceylan, Eren

doi:10.1016/j.apm.2011.09.060

Cited by 98 publications

(50 citation statements)

References 17 publications

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“…Ahumada and Villalobos investigate a multiperiod operational production and distribution planning model in a crop supply chain with the price and yield uncertainty [16]. Paksoy et al develop a fuzzy network design in a consumable vegetable oil supply chain that minimizes the total transportation cost with probabilistic market demand [17]. Cai and Zhou study a production and transportation model that minimizes the expected total cost of production in a perishable fresh-crop supply chain [18].…”

Section: Literature Reviewmentioning

confidence: 99%

Risk Transfer Mechanism for Agricultural Products Supply Chain Based on Weather Index Insurance

et al. 2018

Complexity

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The risk management for agricultural products supply chain is more complex than that for typical manufacturing supply chain. Agricultural production is vulnerable to severe weather such as heavy rain, cyclones, and cold wave, which challenges the matching of random output with random demand for agricultural products supply chains. The goal of this paper is to design an effective risk transfer mechanism for managing severe weather risks so as to ensure the stable operation of the agricultural products supply chain. We study the coordination of two-level agricultural products supply chain with a single company and a single farmer under the influence of severe weather. Taking rainstorm weather as an example, this paper designs a risk transfer mechanism based on weather index (rainfall) insurance: "rainfall index insurance + revenue sharing + risk transfer fee." It is found that this risk transfer mechanism can overcome distortion of the farmer's agricultural investment level under the influence of severe weather. When the contract parameters meet certain conditions, using the risk transfer mechanism can achieve the supply chain coordination and a win-win situation. More importantly, weather change does not affect the Pareto improvement of the company and the farmer under the risk transfer mechanism. In addition, we also find that the company can incentivize the farmer to purchase weather index insurance and use the insurance market to shift the severe weather risk encountered during the agricultural production to protect the company's and farmer's income and the stable operation of the supply chain.

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Section: Literature Reviewmentioning

confidence: 99%

Risk Transfer Mechanism for Agricultural Products Supply Chain Based on Weather Index Insurance

et al. 2018

Complexity

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“…The following body work doesn't address green supply chain issues and specifically does not address CO 2 emissions. The works of Raj and Rjendran [14], Pakosy et al [15], Dondo et al [16], Dun-Ji et al [17], Liu et al [18], Ozen et al [19], Mahar and Wright [20], and Kadir [21] integrate transportation cost as a lumped cost and does not address situations where transportation is carried through urban areas. Hence idle transportation time, due to traffic stops, is not considered in the above works.…”

Section: Literature Reviewmentioning

confidence: 99%

Effect of Excluding Travel Time Variations in Urban Areas on Emissions

Alzaman¹

2013

Ind Eng Manage

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The literature on Green Supply Chains is growing in importance as production and transportation of goods make a significant contribution to greenhouse emissions worldwide. The literature indicates an increasing number of papers in the field but however also shows a gap for further research. This work looks at transportation through urban areas with high population densities and evaluates the impact of idle transportation time which is due to frequent stops through congested traffic. The work compares fuel consumption costs, and their corresponding CO 2 emissions, due to driving time variations to the case when idle time and driving time variations are not considered. This work is a comparison study between the case when driving time variations is not considered and the case when it's included. The overall goal is to show how significant are the CO 2 emissions due to driving time variations in a supply chain network of which transportation runs through urban sprawls.

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“…With regard to uncertainties in productivity, Bohle et al [14] applied robust optimization to the supply chain of wine grapes and developed an optimal grape harvesting scheduling. Similarly, Paksoy et al [15] considered production, transport capacity, and the uncertainties in market demand to optimize the edible vegetable oil supply chain. Owing to the perishable nature of agro-products, De Keizer et al [16] combined multi-objective optimization and discrete event simulation to redesign the supply chain and reduce the financial risk.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Enhancing Eco-Efficiency of Agro-Products’ Closed-Loop Supply Chain under the Belt and Road Initiatives: A System Dynamics Approach

et al. 2018

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This study redesigns the supply chain of agricultural products in southwest China under the Belt and Road Initiative to improve its eco-efficiency by considering the associated agro-wastes flowing into bioenergy enterprise for energy production. Two scenarios are created, in which the first assumes that all waste flows into the enterprise, whereas the second only considers the inflow of agro-waste produced by farmers and the wholesale market. A system dynamics simulation is conducted by using carbon emissions per product as an indicator to obtain the optimal scenario for managerial practice and design an incentivizing mechanism to drive supply chain operations. A case study is provided to demonstrate application of the system dynamics. Finally, the limitations of the study are discussed to lay the foundation for further improvement.

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Application of fuzzy optimization to a supply chain network design: A case study of an edible vegetable oils manufacturer

Cited by 98 publications

References 17 publications

Risk Transfer Mechanism for Agricultural Products Supply Chain Based on Weather Index Insurance

Risk Transfer Mechanism for Agricultural Products Supply Chain Based on Weather Index Insurance

Effect of Excluding Travel Time Variations in Urban Areas on Emissions

Enhancing Eco-Efficiency of Agro-Products’ Closed-Loop Supply Chain under the Belt and Road Initiatives: A System Dynamics Approach

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