Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You and Your Team.

Learn More →

Design of agile supply chains including the trade-off between number of partners and reliability

Design of agile supply chains including the trade-off between number of partners and reliability The reliability of supply partners is particularly vital in agile supply chains as it is vulnerable to the inability of a supply partner to meet its high responsiveness and flexibility requirements resulting in the disruption of the whole network. Disruption can have expensive and extensive results for the entire agile supply chain. To mitigate the risk of disruption and improve the reliability of the whole agile supply chain, decision-makers need to pay more attention to supply chain design and construction while simultaneously taking into account the sourcing strategy decisions. This paper proposes a series of models for the design of agile supply chains using dynamic programming modeling. These provide decision-makers with a systematic way of analyzing one of the key decisions of sourcing strategy, namely the trade-off between the number of supply partners and reliability. The efficacy of the models is demonstrated through their application to a Chinese bus and coach manufacturer by way of an empirical illustration. The results show that this approach is effective for this application, and it can be applied in other related decision-making scenarios. The methods offered in this paper provide managers with a practical tool to design their agile supply chains while considering the trade-offs between the number of partners and the reliability of the entire agile supply chain. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The International Journal of Advanced Manufacturing Technology Springer Journals

Design of agile supply chains including the trade-off between number of partners and reliability

Download PDF
18 pages
Read Article

Loading next page...
 
/lp/springer_journal/design-of-agile-supply-chains-including-the-trade-off-between-number-dl4TXlBrac
Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer-Verlag London Ltd., part of Springer Nature
Subject
Engineering; Industrial and Production Engineering; Media Management; Mechanical Engineering; Computer-Aided Engineering (CAD, CAE) and Design
ISSN
0268-3768
eISSN
1433-3015
DOI
10.1007/s00170-018-2205-5
Publisher site
See Article on Publisher Site

Abstract

The reliability of supply partners is particularly vital in agile supply chains as it is vulnerable to the inability of a supply partner to meet its high responsiveness and flexibility requirements resulting in the disruption of the whole network. Disruption can have expensive and extensive results for the entire agile supply chain. To mitigate the risk of disruption and improve the reliability of the whole agile supply chain, decision-makers need to pay more attention to supply chain design and construction while simultaneously taking into account the sourcing strategy decisions. This paper proposes a series of models for the design of agile supply chains using dynamic programming modeling. These provide decision-makers with a systematic way of analyzing one of the key decisions of sourcing strategy, namely the trade-off between the number of supply partners and reliability. The efficacy of the models is demonstrated through their application to a Chinese bus and coach manufacturer by way of an empirical illustration. The results show that this approach is effective for this application, and it can be applied in other related decision-making scenarios. The methods offered in this paper provide managers with a practical tool to design their agile supply chains while considering the trade-offs between the number of partners and the reliability of the entire agile supply chain.

Journal

The International Journal of Advanced Manufacturing Technology – Springer Journals

Published: May 29, 2018

References

  • Diversification under supply uncertainty
    Anupindi, R; Akella, R
  • Considering the business system’s complexity with a network approach
    Arasteh, A; Aliahmadi, A; Omran, MM
  • A simulation based approximate dynamic programming approach to multi-class, multi-resource surgical scheduling
    Astaraky, D; Patrick, J
  • A new model to mitigating random disruption risks of facility and transportation in supply chain network design
    Azad, N; Davoudpour, H; Saharidis, GKD; Shiripour, M
  • A dynamic programming based heuristic for the assembly line balancing problem
    Bautista, J; Pereira, J
  • Dynamic programming
    Bellman, RE
  • Revisiting dynamic programming for finding optimal subtrees in trees
    Blum, C
  • Sourcing decisions with stochastic supplier reliability and stochastic demand
    Burke, KJ; Carrillo, JE; Vakharia, AJ
  • Agile and resilient approaches to supply chain management: influence on performance and competitiveness
    Carvalho, H; Azevedo, SG; Cruz-Machado, V
  • Supply chain readiness, response and recovery for resilience
    Chowdhury, MMH; Quaddus, M
  • The agile supply chain—competing in volatile markets
    Christopher, M
  • Integrating the environmental and social sustainability pillars into the lean and agile supply chain management paradigms: a literature review and future research directions
    Ciccullo, F; Pero, M; Caridi, M; Gosling, J; Purvis, L
  • A multicriteria decision model to support the selection of suppliers of motor repair services
    Oliveira e Silva, AL; Virginio Cavalcante, CA; Caldas de Vasconcelos, NV
  • Competence in supply chain management: a systematic review
    Derwik, P; Hellstrom, D
  • State of the art review of quality, reliability and maintenance issues in closed-loop supply chains with remanufacturing
    Diallo, C; Venkatadri, U; Khatab, A; Bhakthavatchalam, S
  • Agile manufacturing: framework and its empirical validation
    Dubey, R; Gunasekaran, A
  • The design of a responsive sustainable supply chain network under uncertainty
    Dubey, R; Gunasekaran, A; Childe, SJ
  • Supply chain agility, adaptability and alignment: empirical evidence from the Indian auto components industry
    Dubey, R; Altay, N; Gunasekaran, A; Blome, C; Papadopoulos, T; Childe, SJ
  • The performance impact of supply chain agility and supply chain adaptability: the moderating effect of product complexity
    Eckstein, D; Goellner, M; Blome, C; Henke, M
  • Understanding and development of supply chain agility and flexibility: a structured literature review
    Fayezi, S; Zutshi, A; O'Loughlin, A
  • Revenue-sharing contracts in an n-stage supply chain with reliability considerations
    Feng, X; Moon, I; Ryu, K
  • Investigation of exogenous shocks in complex supply networks—a modular petri net approach
    Fridgen, G; Stepanek, C; Wolf, T
  • Performance outcomes of supply chain agility: when should you be agile?
    Gligor, DM; Esmark, CL; Holcomb, MC
  • Mitigating the effect of risk conditions on supply disruptions: the role of manufacturing postponement enablers
    Gualandris, J; Kalchschmidt, M
  • Agile manufacturing practices: the role of big data and business analytics with multiple case studies
    Gunasekaran, A; Yusuf, YY; Adeleye, EO; Papadopoulos, T
  • Reliability with interdependent suppliers
    Hagspiel, S
  • Managing supply disruption through procurement strategy and price competition
    He, B; Huang, H; Yuan, K
  • Reliability evaluation for airline network design in response to fluctuation in passenger demand
    Hsu, CI; Wen, YH
  • Dynamic programming for delayed product differentiation
    Hsu, HM; Wang, WP
  • Developing a resilient supply chain through supplier flexibility and reliability assessment
    Kamalahmadi, M; Mellat-Parast, M
  • Reliability-based total cost of ownership approach for supplier selection using cuckoo-inspired hybrid algorithm
    Kanagaraj, G; Ponnambalam, SG; Jawahar, N
  • Quantitative models for supply chain performance evaluation: a literature review
    Lima-Junior, FR; Carpinetti, LGR
  • System reliability evaluation for a multistate supply chain network with failure nodes using minimal paths
    Lin, YK
  • Disentangling resilience, agility and leanness conceptual development and empirical analysis
    Lotfi, M; Saghiri, S
  • Supplier selection in agile supply chains: an information processing model and an illustration
    Luo, XX; Wu, C; Rosenberg, D; Barnes, D
  • Mitigating supply chain disruptions—a normal accident perspective
    Marley, KA; Ward, PT; Hill, JA
  • Supplier selection and demand allocation under supply disruption risks
    Meena, P; Sarmah, S
  • The uncertainty evaluation method of supply chain reliability
    Miao, X; Yu, B; Xi, B
  • Mitigating supply chain disruptions through the assessment of trade-offs among risks, costs and investments in capabilities
    Nooraie, SV; Parast, MM
  • The impact of delivery lot splitting on delivery reliability in a two-stage supply chain
    Nieuwenhuyse, I; Vandaele, N
  • Collaborative fractal-based supply chain management based on a trust model for the automotive industry
    Oh, SJ; Ryu, KY; Moon, IK; Cho, HB; Jung, MY
  • Exploring the impact of delivery performance on customer transaction volume and unit price: evidence from an assembly manufacturing supply chain
    Peng, DX; Lu, G
  • Understanding the concept of supply chain resilience
    Ponomarov, SY; Holcomb, MC
  • Multi-objective supply chain sourcing strategy design under risk using PSO and simulation
    PrasannaVenkatesan, S; Kumanan, S
  • Developing a resilient supply chain strategy during “boom” and “bust”
    Purvis, L; Spall, S; Naim, M; Spiegler, V
  • Supply chain resilience: definitions and quantitative modelling approaches—a literature review
    Ribeiro, JP; Barbosa-Povoa, A
  • A variant of the dynamic programming algorithm for unit commitment of combined heat and power systems
    Rong, A; Hakonen, H; Lahdelma, R
  • The optimal number of suppliers considering the cost of individual supplier failures
    Ruiz-Torres, AJ; Mahmoodi, F
  • Agility appraisal for integrated supply chain using generalized trapezoidal fuzzy numbers set
    Samantra, C; Datta, S; Mishra, S; Mahapatra, SS
  • A production-inventory model in an imperfect production process
    Sana, SS
  • Supply chain agility: review, classification and synthesis
    Sharma, N; Sahay, BS; Shankar, R; Sarma, PRS
  • Managing disruptions in decentralized supply chains with endogenous supply process reliability
    Tang, SY; Gurnani, H; Gupta, D
  • Agile supply chain strategy and supply chain performance: complementary roles of supply chain practices and information systems capability for agility
    Tarafdar, M; Qrunfleh, S
  • Improving reliability of a shared supplier with competition and spillovers
    Wang, Y; Xiao, Y; Yang, N
  • Dealing with supply chain risks: linking risk management practices and strategies to performance
    Wieland, A; Wallenburg, CM
  • Risk, risk management practices, and the success of supply chain integration
    Wiengarten, F; Humphreys, P; Gimenez, C; McIvor, R
  • An analytic network process-mixed integer multi-objective programming model for partner selection in agile supply chains
    Wu, C; Barnes, D; Rosenberg, D; Luo, XX
  • A model for continuous improvement in supplier selection in agile supply chains
    Wu, C; Barnes, D
  • Formulating partner selection criteria for agile supply chains: a Dempster-Shafer belief acceptability optimization approach
    Wu, C; Barnes, D
  • A literature review of decision-making models and approaches for partner selection in agile supply chains
    Wu, C; Barnes, D
  • A dynamic feedback model for partner selection in agile supply chains
    Wu, C; Barnes, D
  • Partner selection in agile supply chains: a fuzzy intelligent approach
    Wu, C; Barnes, D
  • Partner selection for reverse logistics centres in green supply chains: a fuzzy artificial immune optimisation approach
    Wu, C; Barnes, D
  • Optimal production and inventory decisions under demand and production disruptions
    Xu, X; Shang, J; Wang, H; Chiang, WC
  • On sourcing decisions with stochastic supplier reliability and stochastic demand
    Yan, XM
  • Designing a reliable multi-objective queuing model of a petrochemical supply chain network under uncertainty: a case study
    Yousefi-Babadi, A; Tavakkoli-Moghaddam, R; Bozorgi-Amiri, A; Seifi, S
  • Partial interdiction median models for multi-sourcing supply systems
    Zhang, XY; Zheng, Z; Zhang, SH; Du, WB