Modelling Multi Tour Inventory Routing Problem for Deteriorating Items with Time Windows

Widyadana, I Gede Agus; Irohara, Takashi

doi:10.24200/sci.2018.20178

Cited by 6 publications

(6 citation statements)

References 24 publications

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“…Widyadana and Irohara. [22] extended the IPIRP by considering recovery and remanufacturing of End-Of-Life (EOL) products as stable factors. They aimed at using a mathematical programming approach to determine the optimal amounts of goods (i.e., lot-sizes) required to be produced, reproduced, and stored while meeting customers' requests (i.e., deliveries and pick-ups) with the least total costs as a result of the integrated operations.…”

Section: Literature Reviewmentioning

confidence: 99%

A solution algorithm for integrated production-inventory-routing of perishable goods with transshipment and uncertain demand

Лю

Hendalianpour²,

Razmi

et al. 2021

Complex Intell. Syst.

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Supply and distribution management of blood products is a challenging task due to their short lifespan. The problem is even more sophisticated considering uncertain demand for these products. This paper addresses integrated inventory-routing of blood in a supply chain network consisting of a single supplier and a group of blood centers. Transshipment among blood centers is allowed to decrease the cost of excess inventory and shortage of goods. A mathematical model is developed that decides on the optimal quantity of supplied blood, delivery plan, inventory level, and quantity of products transshipped between blood centers with the objective of minimizing total costs. In addition, a robust optimization approach is adopted to deal with uncertainty in demand. Since the proposed model is NP-hard, a heuristic solution algorithm is developed that improves solution quality by determining the most efficient change in vehicle routes in each search stage. The efficiency of the proposed algorithm is examined in a set of numerical experiments and using data from a real case of supply and distribution management of blood platelets. The results indicated that allowing transshipment reduces the need for supply capacity at the supplier, product shortage, inventory level, and the total cost.

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Section: Literature Reviewmentioning

confidence: 99%

A solution algorithm for integrated production-inventory-routing of perishable goods with transshipment and uncertain demand

Лю

Hendalianpour²,

Razmi

et al. 2021

Complex Intell. Syst.

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“…Location, allocation, routing and inventory decisions are regarded in various types of SC problems [3,4,5]. Lot sizing is regarded in some studies of CLSC besides the other strategic and tactical decisions of the system.…”

Section: Location Lot Sizing and Routing In The Supply Chainmentioning

confidence: 99%

“…7calculates the environmental effects of transportation not only based on the traveled distance but also based on the cargo weight and rolling resistance of the road. 3 12…”

mentioning

confidence: 99%

A hybrid metaheuristic algorithm for a data driven leagile sustainable closed-loop supply chain model under disruption risks

2020

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In the current situation, taking into consideration the environmental and social issues are related with the production and distribution of products in supply chain systems, due to the global concerns related with emitting lots of greenhouse gases within the manufacturing process and overlooking the major needs of public. This paper proposes a new multi objective model in the area of closed loop supply chain problem integrated with lot sizing by considering lean, agility and sustainability factors simultaneously. Next, a robust possibilistic programming approach is applied to handle the uncertainty of the model. To increase the responsiveness of the system, a fuzzy c-means clustering method is applied to select the potential locations based on the proximity to local customers. In the following, a new hybrid metaheuristic algorithm is developed to deal with large size problems efficiency and to assess the impact of using a single-based initial solution as the income for the second phase of the proposed hybrid algorithm. To ensure about the effectiveness of the proposed algorithm, another well-known metaheuristic algorithm is developed too. The results reached from experiments on different test problems approve the superiority of the hybrid metaheuristic algorithm to find better solutions.

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“…A similar model, and amethod, for perishable items was developed by [5], however, they did not consider transshipment between stores. Widyadana and Irohara [15] extended IRP models for perishable items by considering deteriorated items and items delivered under specific time windows. In the model, items are not only deteriorated during storing period in warehouses but are also, deteriorating during the transportation period.…”

Section: Introductionmentioning

confidence: 99%

An inventory routing problem for deteriorating items with dynamic demand and spoilage rate

Widyadanaa

Wahyudib

Sutapac

2021

YUGOSLAV J OPERATION

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Inventory routing problems (IRP) are among important tools to be used for implementing vendor manage inventory. Many researchers try to develop methods for solving inventory routing problem, however, only a few developed methods for inventory routing problems for spoilage items. In reality, many items are deteriorated and spoiled during transportation and storage period. In this paper, we developed a model and methods to solve the inventory routing problem for deteriorating items with dynamic demand and spoilage rate, i.e., demand varies and items spoil during planning periods. Those cases are more realistic since many commodities such as fruits and vegetables have dynamic demand and spoilage rate. A Genetic Algorithm and Particle Swarm Optimization are developed to solve the problem with various demands in a specific planning period since the problem is Np-hard. A numerical example and sensitivity analysis are con- ducted to verify the model, and to get management insight it. The result is interesting and support general hypothesis that dynamic demands result in higher inventory cost than the static demands, and the increasing demand results in increasing inventory cost. Also, the results show that increasing demand and deteriorating rates significantly affect the total cost, therefore, the developed model is important and significantly useful to be used for solving IRP with dynamic demand and spoilage items.

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Modelling Multi Tour Inventory Routing Problem for Deteriorating Items with Time Windows

Cited by 6 publications

References 24 publications

A solution algorithm for integrated production-inventory-routing of perishable goods with transshipment and uncertain demand

A solution algorithm for integrated production-inventory-routing of perishable goods with transshipment and uncertain demand

A hybrid metaheuristic algorithm for a data driven leagile sustainable closed-loop supply chain model under disruption risks

An inventory routing problem for deteriorating items with dynamic demand and spoilage rate

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