Supply Chain Analysis

Sürie, Christopher; Wagner, Michael

doi:10.1007/3-540-24814-5_3

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…A number of performance indicators can be suggested for evaluating the performance of an LS, such as overall system costs, inventory management, delivery performance, and network responsiveness [13]. Literature on the LP models indicates that the cost-based value characteristics (e.g.…”

Section: Key Performance Indicatorsmentioning

confidence: 99%

Integration in Logistics Planning and Optimization

Fahimnia¹,

Molaei²,

Ebrahimi³

2011

Logistics Operations and Management

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Section: Key Performance Indicatorsmentioning

confidence: 99%

Integration in Logistics Planning and Optimization

Fahimnia¹,

Molaei²,

Ebrahimi³

2011

Logistics Operations and Management

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“…Supply chain analysis is the act of assessing each step of a supply chain, beginning with the time the company purchases supplies or raw materials from its suppliers and terminating with the delivery of finished goods to the customers (Ülkü & Engau, 2021). The goal of the analysis is to identify which link in the supply chain may be reduced or enhanced to deliver the goods to customers more swiftly and effectively (Sürie & Wagner, 2005). Likewise, the goal of a reverse supply chain analysis is to identify which components of the supply chain can be enhanced in such a way that each return is efficiently handled.…”

Section: Introductionmentioning

confidence: 99%

Environment and economic analysis of reverse supply chain scenarios for remanufacturing using discrete-event simulation approach

Ravichandran

Vimal

Kumar

et al. 2023

Environ Dev Sustain

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The study covers the concepts involved in reverse supply chain modeling using the case of a manufacturing company. The purpose of this study is to build a sustainable reverse supply chain model for resource conservation through remanufacturing of stator shafts by using a discrete-event simulation approach. The simulation studies in the reverse supply chain have taken up cases of either plastic or electronic waste remanufacturing, while very limited studies deal with simulation of sustainable reverse supply chains using a manufacturing industry case study from international customers. In this study, reverse supply chain using simulation study in manufacturing sector is carried out using Arena Rockwell simulation software. The simulation model is built using discrete-event simulation for returns from customers of two developed countries, i.e., Germany and the USA to Chennai, India. The study emphasizes full container load and less than container load modes of shipment scenarios and multiple return cases. The comparative analysis suggests that the value-added and non-value-added time of the reverse supply chain is slightly greater in the less container load scenario. The wait time per entity in remanufacturing processes similar for both shipment scenarios varies significantly based on return cases. The cost and carbon emission associated with transportation, in the reverse supply chain inclusive of social carbon cost, have also been estimated. Therefore, the study proposes a possible sustainable reverse supply chain framework that could be adopted by different manufacturing industries and yield opportunities for performance improvement.

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“…S. 142-156.243 Vgl. Supply Chain Council (2008),Sürie/Wagner (2008), S. 41-48, Kuhn/Hellingrath (2002, S. 105-109,Rogers et al (2002) undCooper et al (1997). Ein Beispiel für einen Retourenprozess ist in Asdecker/Wiese (2010) zu finden.…”

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Internal Supply Chain Management : Entwicklung und experimentelle Analyse hybrider Losgrößenplanungsverfahren

Dobhan

2012

Logistik &Amp; Supply Chain Management

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Supply Chain Analysis

Cited by 3 publications

References 10 publications

Integration in Logistics Planning and Optimization

Integration in Logistics Planning and Optimization

Environment and economic analysis of reverse supply chain scenarios for remanufacturing using discrete-event simulation approach

Internal Supply Chain Management : Entwicklung und experimentelle Analyse hybrider Losgrößenplanungsverfahren

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