Adaptive variable neighborhood search solution methods for the fleet size and mix pollution location-inventory-routing problem

Karakostas, Panagiotis; Sifaleras, Angelo; Georgiadis, Michael C.

doi:10.1016/j.eswa.2020.113444

Cited by 60 publications

(14 citation statements)

References 52 publications

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“…Decisions of inventory were made at all echelons. Karakostas et al (2020) solved LIRP using general variable neighborhood search for a problem that consisted of single echelon, single product, and deterministic demand. Karakostas et al (2020) considered external parameters which were fuel and CO2 emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Karakostas et al (2020) solved LIRP using general variable neighborhood search for a problem that consisted of single echelon, single product, and deterministic demand. Karakostas et al (2020) considered external parameters which were fuel and CO2 emissions. The summary of papers related to location-inventory-routing problem can be seen in Table 1.…”

Section: Literature Reviewmentioning

confidence: 99%

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Location-inventory-routing Problem in a Context of City Logistics: A Case Study of Jakarta

Saragih

Bahagia

Suprayogi

et al. 2022

OSCM: An Int. Journal

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City logistics idea is to develop an effective, efficient, and environmentally friendly logistics system. The development of city logistics is related to energy consumption, traffic congestion, economic and environmental problems. As one of the megacities in the world, Jakarta faces an inventory problem which is low availability of only 76%. Jakarta also faces the problem of transportation that is traffic congestion. The problems show that it is needed to develop city logistics in Jakarta. City logistics developed in this paper is related to decisions of location, inventory, and routing problems or LIRP (location-inventory-routing problem) in short. The LIRP takes into account multi-products, multi suppliers, and traffic congestion as an external parameters. This paper aims to develop a heuristic method to solve the LIRP. The heuristic method is based on simulated annealing (SA) algorithm. Existing literature shows that this paper's heuristic method to solve the LIRP has never been developed before. From applying the heuristic method in Jakarta, the coordination concept of city logistics reduces the vehicle number by 73%, and the consolidation concept of city logistics increases the availability from 76% to 95%.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Location-inventory-routing Problem in a Context of City Logistics: A Case Study of Jakarta

Saragih

Bahagia

Suprayogi

et al. 2022

OSCM: An Int. Journal

View full text Add to dashboard Cite

show abstract

“…In the production management, three planning levels are usually distinguished depending on the time horizon: strategic, tactical, and operational (see Karakostas et al [1] and Karakostas et al [2]). Production and inventory planning problems belong to the operational level and have received considerable attention in the literature.…”

Section: Introductionmentioning

confidence: 99%

Multi-Stage Multi-Product Production and Inventory Planning for Cold Rolling under Random Yield

Zhang

Yang

et al. 2022

Mathematics

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This paper studies a multi-stage multi-product production and inventory planning problem with random yield derived from the cold rolling process in the steel industry. The cold rolling process has multiple stages, and intermediate inventory buffers are kept between stages to ensure continuous operation. Switching products during the cold rolling process is typically very costly. Backorder costs are incurred for unsatisfied demand while inventory holding costs are incurred for excess inventory. The process also experiences random yield. The objective of the production and inventory planning problem is to minimize the total cost including the switching costs, inventory holding costs, and backorder costs. We propose a stochastic formulation with a nonlinear objective function. Two lower bounds are proposed, which are based on full information relaxation and Jensen’s inequality, respectively. Then, we develop two heuristics from the proposed lower bounds. In addition, we propose a two-stage procedure motivated by newsvendor logic. To verify the performance of the proposed bounds and heuristics, computational tests are conducted on synthetic instances. The results show the efficiency of the proposed bounds and heuristics.

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“…Decisions of inventory made at all entities. Karakostas, Sifaleras and Georgiadis (2020) The LIRP model developed in this paper consists of probabilistic demands, multi products, and multi echelons.…”

Section: Introductionmentioning

confidence: 99%

Location-inventory-routing model with considering urban road networks

Saragih

Bahagia

Suprayogi

et al. 2021

JIEM

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Purpose: To develop LIRP (location-inventory-routing problem) model with considering multiple links and solve it using method of heuristic based on algorithm of simulated annealing. Method of heuristic for the LIRP model is applied in city of Jakarta to improve effectiveness and efficiency of the food supply chain.Design/methodology/approach: The LIRP model is developed using main references. To solve the model, this paper develops two methods, namely method of optimal and method of heuristic. Computational experiments are performed to obtain the efficiency of the method of heuristic. New design of food supply chain is resulted from the application of the method of heuristic in city of Jakarta.Findings: The new design of food supply chain resulted from the application of LIRP model in city of Jakarta reduces total cost by 18%, increases availability from 76% to 95%, and reduces the number of vehicles by 73%. This paper also shows that distance is not the only consideration to decide the traversed links in cities.Research limitations/implications: Average gap between method of heuristic and method of optimal in terms of total cost is 3.1%.Practical implications: Government of city of Jakarta can improve effectiveness and efficiency of the food supply chain by implementing the LIRP model.Social implications: Citizens of Jakarta are well provided with their needs of vegetables and fruits.Originality/value: The first LIRP model that considers multiple links to represent road networks in cities. The LIRP model developed in this paper consists of probabilistic demands, multi products, and multi echelons. Traditional markets, UCCs (urban consolidation centers) and province of suppliers are the places where decisions of inventory made.

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Adaptive variable neighborhood search solution methods for the fleet size and mix pollution location-inventory-routing problem

Cited by 60 publications

References 52 publications

Location-inventory-routing Problem in a Context of City Logistics: A Case Study of Jakarta

Location-inventory-routing Problem in a Context of City Logistics: A Case Study of Jakarta

Multi-Stage Multi-Product Production and Inventory Planning for Cold Rolling under Random Yield

Location-inventory-routing model with considering urban road networks

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