Modeling and Simulation of Textile Supply Chain through Colored Petri Nets

Robles, Francisca Santana

doi:10.4236/iim.2012.425037

Cited by 8 publications

(2 citation statements)

References 11 publications

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“…Thus, they are well applicable to supply chain management issues. An application example for textile supply chain modeling is presented in Santana-Robles et al 49 Another work 50 presents an application for modeling and analysis of supply chain disruptions. Implementation of CPN for risk identification and management issues is also proposed in Liu et al 51 and Zhang et al 52 Additionally, Colored time Petri net (CTPN) is widely used for modeling dynamic supply chain performance (see Liu et al 53 and Mazzuto et al 54 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Petri nets-based method for operational risk analysis in supply chains based on timeliness and recovery time

Skorupski

Tubis

Werbińska-Wojciechowska

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part O:

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Recently, supply chain risk management has been attracting growing attention. Therefore, various methods, tools, and practices have been developed in this area. However, they usually are focused on the direct consequences of disruptions occurring in supply chains. Thus, the purpose of this article is to present an operational risk analysis method for supply chains, in which consequences of an adverse event occurrence are assessed based on two measures: (1) the direct consequences (disruption) of supply processes to customers, and (2) recovery time for a supply system. Based on research findings, we introduced a Petri nets model for mapping material flows along a supply chain. We implement the proposed analysis method in a selected company from the automotive industry. The performed final discussion confirmed the relevance of distinguishing the direct and indirect consequences of the risk assessment. It was also suggested that the results’ interpretation could be two-fold, which may be necessary for appropriate risk management tool selection.

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Section: Literature Reviewmentioning

confidence: 99%

Petri nets-based method for operational risk analysis in supply chains based on timeliness and recovery time

Skorupski

Tubis

Werbińska-Wojciechowska

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part O:

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“…In the second stage, the research uses analytic hierarchy processes to form a decision-making model for different green initiatives in the fashion industry. Likewise, several other existing papers use different tools and methods to deal with problems in textile supply chains [10][11][12][13][14]. One gap in the current literature, however, is a study that provides a sustainable outsourcing strategy to deal with emerging challenges, such as offshoring and reshoring practices.…”

Section: Introductionmentioning

confidence: 99%

A Sustainable Outsourcing Strategy Regarding Cost, Capacity Flexibility, and Risk in a Textile Supply Chain

2016

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Abstract:The textile industry achieves economic benefits through outsourcing to low cost markets. Today, reshoring is an emerging trend due to rising cost and unemployment concerns. This problem is primarily due to an industry-wide focus on economic benefits only. Cost saving is a basic reason for international outsourcing while domestic outsourcing provides capacity flexibility. Moreover, outsourcing risk has a major impact on strategic location of the production destinations. Therefore, the merging of capacity flexibility and outsourcing risk comprises a sustainable outsourcing strategy. This paper suggests a sustainable outsourcing strategy in which a textile manufacturer outsources to international markets for cost savings and outsources to the domestic market for capacity flexibility. The manufacturer reserves some capacity with domestic suppliers, and pays a unit penalty cost if this capacity flexibility is not utilized. The manufacturer seeks minimum risk in international markets. Operational cost, penalty cost, and outsourcing risk are considered to be objective functions. Decisions include the assignment of contracts to suitable facilities, the quantity of each contract, and allocation of reserved capacity flexibility among domestic suppliers. Multi-objective problem of this research was solved using three variants of goal programming. Several insights are proposed for outsourcing decision making in the current global environment.

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