Stochastic production routing problem for perishable products: Modeling and a solution algorithm

Mousavi, Razieh; Bashiri, Mahdi; Nikzad, Erfaneh

doi:10.1016/j.cor.2022.105725

Cited by 27 publications

(11 citation statements)

References 37 publications

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“…The model presented in this research was a mixed-integer nonlinear programming problem that was solved using two meta-heuristic algorithms. Mousavi et al (2022) studied the production, inventory, and routing problems of perishable products. This study used the scenario-based stochastic approach to deal with the uncertainty of the demand.…”

Section: Literature Reviewmentioning

confidence: 99%

Robust optimization and strategic analysis for agri-food supply chain under pandemic crisis: Case study from an emerging economy

Rahbari¹,

Khamseh²,

Mohammadi³

2023

Expert Systems with Applications

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Section: Literature Reviewmentioning

confidence: 99%

Robust optimization and strategic analysis for agri-food supply chain under pandemic crisis: Case study from an emerging economy

Rahbari¹,

Khamseh²,

Mohammadi³

2023

Expert Systems with Applications

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“…Study [13] presents a model of routing the production of perishable products with uncertain demand. The production routing problem model for a perishable product with a short shelf life was built to optimize the total costs of lost pro ducts, stale produce, production, inventory, and routing.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Construction of a simulation model for the transportation of perishable goods along variable routes

Anufriyeva

Matsiuk

Shramenko

et al. 2023

EEJET

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The object of research is the system of organization of transportation of perishable goods. The study subject is the technological process of transportation of perishable goods by small shipments. The problem solved was a multicriteria optimization of the technological process of delivery of perishable goods by small shipments. The results are the built simulation model for the distribution of small consignments of perishable goods and the optimization according to the criterion of minimizing delivery time while limiting the rational use of available vehicles. To construct a simulation model, discrete-event and agent-based principles were used. The model built combines the solution to the transport problem and the traveling salesman problem simultaneously with taking into account the stochastic duration of technological operations. When forming the distribution route, the model algorithm takes into account the minimum allowable batch size to the i-th destination, which allows each time to build a new unique route of the vehicle. Unlike existing ones, the model constructed allows taking into account the peculiarities of the distribution network, the minimum consignment of cargo, and dynamically changing the route in accordance with the available cargo. Each time the cargo mass arrives at the logistics terminal, the condition of a sufficient quantity of goods intended for delivery to points of sale is checked. If the quantity of cargo sufficient for shipment is equal to the capacity of the car body, a new information message is generated on the availability of goods ready for shipment. Scope and conditions of practical use of the obtained results include transport companies, retail chains, distribution logistics

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“…Research by [17] discusses the Stochastic production routing problem for perishable products with a model and solution algorithm, the purpose of this study is to minimize the inventory cost of wasted products, considering the product life, uncertain demand with a fixed life.…”

Section: Figure 2 -Presentation Of Medicine Expired Year 2022mentioning

confidence: 99%

Development of Inventory Model to Reduce Total Inventory Costs at RSUD Mentawai

Izzati,

Damayanti

2023

IJIES

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The inventory policy problem is a problem in the inventory system related to how to ensure that each usage demand can be met at minimal cost. In the healthcare industry, it is imperative that the procurement and use of stock is not only cost-effective, but also that the required stock is always available. Discrepancies between total inventory and usage can lead to damage to BMHP inventory as the items have expiry dates, as well as excess total inventory costs. The problem of total inventory costs exceeding the budget occurs because overstock is 83% of the total need, overstock is caused by an excessive number of drug orders purchased. The purpose of this study is to reduce the total cost of inventory by considering expiry costs, inspection cost, shortage cost, order cost, holding cost using the EOQ method. The first stage in this study is to calculate the optimal order quantity value, then find the expected number of drug expirations. These results will be used to calculate the total inventory cost of five types of medical materials. for the inspection cost value, if the number of expired medical materials is above 20, the inspection cost value is not equal to zero. The calculation results found that the total inventory cost was Rp. 162,904,965, this cost is less than the actual cost of Rp. 185,843,346.00 with a difference of 12%.

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Stochastic production routing problem for perishable products: Modeling and a solution algorithm

Cited by 27 publications

References 37 publications

Robust optimization and strategic analysis for agri-food supply chain under pandemic crisis: Case study from an emerging economy

Robust optimization and strategic analysis for agri-food supply chain under pandemic crisis: Case study from an emerging economy

Construction of a simulation model for the transportation of perishable goods along variable routes

Development of Inventory Model to Reduce Total Inventory Costs at RSUD Mentawai

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