A Survey of Model-Based System Engineering Methods to Analyse Complex Supply Chains: A Case Study in Semiconductor Supply Chain

Mousavi, Behrouz Alizadeh; Azzouz, Radhia; Heavey, Cathal; Ehm, Hans

doi:10.1016/j.ifacol.2019.11.370

Cited by 16 publications

(4 citation statements)

References 19 publications

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“…BPS was used to estimate the work time spent on organizational and managerial tasks in the supply chains. Mousavi et al (2019) used model-based system engineering to create conceptual models for order management process simulations within complex semiconductor manufacturing SCP systems. Finally, Schätter and Morelli (2021) presented a method for combining BPS and supply chain risk management to develop a resilient supply chain.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The combination of business process simulation (BPS) and supply chain planning (SCP) Jain and Ervin (2005) To assess how well systems and business processes have been improved in a supply chain for distribution and logistics An and Jeng (2005) To present ideas and heuristics to generate supply chain system dynamics models Van Der Vorst et al (2009) To analyze the impact of food quality change and environmental load in redesigning food supply chains Zhang et al (2010) To provide a way for employing integration and coordination across the entire supply chain to reengineer the order fulfillment process (OFP) and sustain supply chain management Wu et al (2011) To analyze the enterprise distribution business process and use the simulation data to improve the optimization model Wang et al (2011) To determine the value of collaboration in the supply chain through enhancing business processes from the standpoint of business simulation Windisch et al (2013) To provide a methodological framework for the detailed examination of the composition and operation of supply chains for forest fuels in different operational contexts Mousavi et al (2019) To develop conceptual models for supply chain planning systems that simulate the order management process in sophisticated semiconductor manufacturing Schätter and Morelli (2021) To provide a resilient supply chain in the supply chain risk management field…”

Section: Humanitarian Supply Chain Planningmentioning

confidence: 99%

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Hybrid simulation-optimization approach for planning relief-aid distribution with a real-world case study

Rezeq,

Aouam,

Gailly

2024

JHLSCM

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Purpose Authorities have set up numerous security checkpoints during times of armed conflict to control the flow of commercial and humanitarian trucks into and out of areas of conflict. These security checkpoints have become highly utilized because of the complex security procedures and increased truck traffic, which significantly slow the delivery of relief aid. This paper aims to improve the process at security checkpoints by redesigning the current process to reduce processing time and relieve congestion at checkpoint entrance gates. Design/methodology/approach A decision-support tool (clearing function distribution model [CFDM]) is used to minimize the effects of security checkpoint congestion on the entire humanitarian supply network using a hybrid simulation-optimization approach. By using a business process simulation, the current and reengineered processes are both simulated, and the simulation output was used to estimate the clearing function (capacity as a function of the workload). For both the AS-IS and TO-BE models, key performance indicators such as distribution costs, backordering and process cycle time were used to compare the results of the CFDM tool. For this, the Kerem Abu Salem security checkpoint south of Gaza was used as a case study. Findings The comparison results demonstrate that the CFDM tool performs better when the output of the TO-BE clearing function is used. Originality/value The efforts will contribute to improving the planning of any humanitarian network experiencing congestion at security checkpoints by minimizing the impact of congestion on the delivery lead time of relief aid to the final destination.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Humanitarian Supply Chain Planningmentioning

confidence: 99%

Hybrid simulation-optimization approach for planning relief-aid distribution with a real-world case study

Rezeq,

Aouam,

Gailly

2024

JHLSCM

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“…All involved parties rely on the ATP and it is of special importance for the customer. [7]. Since the ATP is defined by the planned transit time at the time when the goods are sent out by backend (BE), it is important to detect deviations between actual and planned transit time early on and keep plan transit time up-to-date.…”

Section: B Transit Time Matchingmentioning

confidence: 99%

Knowgraph-TT: Knowledge-Graph-Based Transit Time Matching in Semiconductor Supply Chains

Ramzy¹,

Ehm²,

Durst³

et al. 2022

Infocommunications journal

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The semiconductor supply chain is characterized by a global and complex production network in a competitive market. The time when work at one location ends and can be resumed at another is defined as Transit Time (TT). Therefore, planning Transit Time accurately and minimizing delays is crucial as it is used in the execution system to determine the Available to Promise (ATP) and thus important for daily order confirmation. By determining the ATP, the customer receives a response to the resource availability and a due date to the customer requests. Due to tool inherent differences, we choose semantic integration via Knowledge Graph (KG) to match the planned TT used in the execution system and the actual TT measured in the monitoring tool. KnowGraph-TT thereby serves as a role model for further matching and alignment tasks using KG. It connects actual and planned TT, highlights the gaps via applied queries, and enables an optimized update of planned TT. With our solution, deviations of actual and planned TT can be minimized and confirmations of unrealizable deliverable times are avoided.

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“…SysML is an extension of UML specialized in Systems Engineering allowing specification, analysis, conception and V&V [28]. This Object-oriented modeling language is flexible and modularly structured hence the user can use it effectively without knowing the integrality of language units [29]. It allocates accurate descriptions across views of the modeling process.…”

Section: Introduction and State Of The Artmentioning

confidence: 99%

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2020

Int J Signal Process Anal

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A Survey of Model-Based System Engineering Methods to Analyse Complex Supply Chains: A Case Study in Semiconductor Supply Chain

Cited by 16 publications

References 19 publications

Hybrid simulation-optimization approach for planning relief-aid distribution with a real-world case study

Hybrid simulation-optimization approach for planning relief-aid distribution with a real-world case study

Knowgraph-TT: Knowledge-Graph-Based Transit Time Matching in Semiconductor Supply Chains

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