Developing service supply chains by using agent based simulation

Rouzafzoon, Javad; Helo, Petri

doi:10.1108/imds-05-2015-0220

Cited by 20 publications

(7 citation statements)

References 69 publications

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“…The frameworks herein proposed consist of two phases of simulation: (1) they estimate the crop yield by using a model based on processes such as Agricultural Land Management Alternative with Numerical Assessment Criteria (ALMANAC); and (2) they estimate the transportation costs of biomass by using an agent-based simulation (ABS) with AnyLogic Ò . On the other hand, Rouzafzoon and Helo 19 and De Keizer et al 20 also addressed the issue of facility location with a simulation tool.…”

Section: Literature Reviewmentioning

confidence: 99%

Relocation of the distribution center of a motor oil producer reducing its storage capacity: A case study

2019

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Enterprises face the challenge of identifying, following, and controlling the performance of their processes in the whole supply chain (SC) to guarantee an adequate level of service to the client. Since the delivery of orders on time has a direct impact in the client’s satisfaction, the managers of the SC face the challenge of choosing the best location, number, and capacity of the facilities to deliver the client’s orders on time. In this paper, we address a facility relocation problem. A motor oil manufacturing company currently has a distribution center (DC) with 17,800 storage locations and 20 docks for loading and unloading, operated traditionally, and it wishes to relocate the DC to a smaller one of 10,800 storage locations operated in an automated way. However, they do not have the certainty that the relocated DC will support the distribution logistics operation to deliver the clients’ orders on time. In this research, we make a feasibility analysis of the distribution logistics operation when relocating the DC through a simulation model. For that, it was essential to analyze the main storage and distribution processes of the new DC. The main contribution of this work is the development of a simulation model that can be used to analyze the feasibility of relocating a warehouse or DC to a specific location; the model establishes the main key performance indicators that must be evaluated in the simulation. The results of the simulation show that it is feasible to implement the relocation.

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Section: Literature Reviewmentioning

confidence: 99%

Relocation of the distribution center of a motor oil producer reducing its storage capacity: A case study

2019

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“…(1) Centralised e-marketplace web portals, combining demand and supply in a temporally and spatially shared repository [12,13] and (2) Decentralised, agent-based e-marketplaces with a yellow-page dictionary service and distributed network of temporally and spatially distributed agents of supply chain partners [11,[14][15][16][17][18][19][20][21][22][23][24][25].…”

Section: Multi-agent Systems In Supply Chainsmentioning

confidence: 99%

An Approach to E-marketplace Automation

Milić¹,

Gumzej

2019

Teh. vjesn.

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E-marketplaces have become an essential part of e-commerce. In our research a decentralised agent-based e-marketplace platform was devised. The goal of our research is to improve overall supply chain service quality by allowing companies' agents to evaluate the service quality of their partners through the history of their transactions. Consequently, since more informed decisions are taking place continuously and autonomously, supply chain service quality is being improved along the whole supply chain. In the article a service quality evaluation model of a supply chain is empirically evaluated.

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“…ABS is one of the methods that is suitable for research into services in supply chains (Lusch, 2011). For example Rouzafzoon and Helo (2016) use ABS to study the service distribution and location problem in a healthcare supply chain. We believe that ABS is also relevant to researching services in ASC.…”

Section: Figure 3 Bibliographic Mapping Of Asc Researchmentioning

confidence: 99%

Applications of agent-based modelling and simulation in the agri-food supply chains

Utomo

Onggo

Eldridge

2018

European Journal of Operational Research

110

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Agri-food supply chains (ASC) are an important application domain for Operational Research/Management Science. In particular, the use of agent-based simulation (ABS) has increased in ASC research in recent years. This paper reviews existing ASC research that use ABS. The review begins by analysing the characteristics of the models and modelling reported in the literature. It illustrates that existing modelling research features extensive use of: single echelon supply chains; cases from high and middle income countries; unprocessed food products, empirical (as opposed to hypothetical) data; decision-making related to production planning and investment; and the use of black box validation. The second part of the review uses bibliographic mapping to analyse areas in ASC research which are yet to be addressed using ABS. We find that areas such as collaboration and competition, buyer-seller relationships, and service are underresearched. In addition, key actors in ASC such as food processors, supermarkets and retailers have not been included in the ABS models reported. Furthermore, these models have yet to incorporate important supply chain management theories such as Transaction Cost Economics and Resource-Based View as part of their design.

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Developing service supply chains by using agent based simulation

Cited by 20 publications

References 69 publications

Relocation of the distribution center of a motor oil producer reducing its storage capacity: A case study

Relocation of the distribution center of a motor oil producer reducing its storage capacity: A case study

An Approach to E-marketplace Automation

Applications of agent-based modelling and simulation in the agri-food supply chains

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