Abstract
Parts backorder reduction has become increasingly important in supply chain management. When it is difficult or time consuming to acquire parts, the operational availability of a system is reduced. This study describes a technique that helps planners proactively identify potential problem spare parts to better manage spare parts acquisition in military weapon systems. The paper reports on the results of fuzzy induced linguistic ordered weighted averaging for group decision support evaluation of backorder risk triggers to ensure that equipment is available and fully operational when needed. Risk factors were identified, the impact importance and probability metric performance ratings were determined via induced linguistic ordered weighted averaging, and a risk mitigation strategy was used to identify and predict supply chain backorder risk triggers (SCBORT). L-Project is an illustrative example that utilizes Petri nets and Pareto charts to present the evaluation hierarchy of supply chain risk. Cluster analysis is utilized to determine that there are five triggers of engineering, obsolescence, demand, NSN unique sustainment, and cataloging in light of the five SCBORT probability performance metric dimensions of quality, cost, lead time, service level, and information availability. There are also four aggregated SCBORT impact clusters of market sensitiveness, process integration, information drivers, and flexibility. Supply chain risk is presented as a probability/impact matrix.
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References
Agarwal A, Shankar R, Tiwari MK (2006) Modeling the metrics of lean, agile and leagile supply chain: an ANP-based approach. Eur J Oper Res 173:211–225
Ahn BS (2010) A priori identification of preferred alternatives of OWA operators by relational analysis of arguments. Inf Sci 180:4572–4581
Ammar S, Wright R, Selden S (2000) Ranking state financial management: a multilevel fuzzy rule-based system. Decis Sci 31:449–481
Bayındıra ZP, Dekker R, Porras E (2006) Determination of recovery effort for a probabilistic recovery system under various inventory control policies. Omega 34:571–584
Beliakov G, James S (2011) Citation-based journal ranks: the use of fuzzy measures. Fuzzy Sets Syst 167:101–119
Bhaskar T, Pal M, Pal A (2011) A heuristic method for RCPSP with fuzzy activity times. Eur J Oper Res 208:57–66
Blackhursta J, Wub T, Craighead CW (2008) A systematic approach for supply chain conflict detection with a hierarchical Petri net extension. Omega 36:680–696
Brijesh P, Chandrasekharan R (2011) Rationing mechanisms and inventory control-policy parameters for a divergent supply chain operating with lost sales and costs of review. Comput Oper Res 38:1117–1130
Chan HK, Chan FTS (2010) Comparative study of adaptability and flexibility in distributed manufacturing supply chains. Decis Support Syst 48:331–341
Chang P, Liu CH, Wang YW (2006) A hybrid model by clustering and evolving fuzzy rules for sales decision supports in printed circuit board industry. Decis Support Syst 42:1254–1269
Cheng CH, Wang JW, Wu MC (2009) OWA-weighted based clustering method for classification problem. Expert Syst Appl 36:4988–4995
Chuu SJ (2011) Interactive group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a supply chain. Eur J Oper Res 213:279–289
Gunasekaran A, Ngai EWT (2009) Modeling and analysis of build-to-order supply chains. Eur J Oper Res 195:319–334
Gunasekaran A, Patel C, Tirtiroglu E (2001) Performance measures and metrics in a supply chain environment. Int J Oper Prod Manag 21(1/2):71–87
Hall DL (1992) Mathematical techniques in multisensor data fusion. Artech House, Norwood
Huang S, Axsäter S, Dou Y, Chen J (2011) A real-time decision rule for an inventory system with committed service time and emergency orders. Eur J Oper Res 215:70–79
ISO/DIS 31000 (2009) Risk management: principles and guidelines on implementation. International Organization for Standardization, New York
Kao C, Lin P (2011) Qualitative factors in data envelopment analysis: a fuzzy number approach. Eur J Oper Res 211:586–593
Liu R, Kumar A, van der Aalst W (2007) A formal modeling approach for supply chain event management. Decis Support Syst 43:761–778
Luckham D (2002) The power of events. Addison-Wesley, Boston
Mahadevan B, Pyke DF, Fleischmann M (2003) Periodic review, push inventory policies for remanufacturing. Eur J Oper Res 151:536–551
Merigó JM, Gil-Lafuente AM (2011) Decision-making in sport management based on the OWA operator. Expert Syst Appl 38:10408–10413
Olsson F, Tydesj P (2010) Inventory problems with perishable items: fixed lifetimes and backlogging. Eur J Oper Res 202:131–137
Sadiq R, Tesfamariam S (2007) Probability density functions based weights for ordered weighted averaging (OWA) operators: an example of water quality indices. Eur J Oper Res 182:1350–1368
Shin KS, Shin YW, Kwon JH, Kang SH (2011) Development of risk based dynamic backorder replenishment planning framework using Bayesian Belief Network. Comput Ind Eng 62:716–725
Skinner H (1979) Dimensions and clusters: a hybrid approach to classification. Appl Psychol Meas 3:327–341
Tan LCB, Hsieh PJ (2005) Application of the fuzzy weighted average in strategic portfolio management. Decis Sci 36:489–511
Toktas-Palut P, Ulengin F (2011) Coordination in a two-stage capacitated supply chain with multiple suppliers. Eur J Oper Res 212:43–53
Tüysüz F, Kahraman C (2010) Modeling a flexible manufacturing cell using stochastic Petri nets with fuzzy parameters. Expert Syst Appl 37:3910–3920
Wang YM, Luo Y, Liu X (2007) Two new models for determining OWA operator weights. Comput Ind Eng 52:203–209
Wei C, Pei Z, Li H (2012) An induced OWA operator in coal mine safety evaluation. J Comput Syst Sci 78:997–1005
Yager R (1981) Concepts, theory, and techniques: a new methodology for ordinal multiobjective decisions based on fuzzy sets. Decis Sci 12:589–600
Yager RR (2002) Defending against strategic manipulation in uninorm-based multi-agent decision making. Eur J Oper Res 141:217–232
Yager RR (2006) OWA trees and their role in security modeling using attack trees. Inf Sci 176:2933–2959
Yager RR, Filev DP (1999) Induced ordered weighted averaging operators. IEEE Trans Syst Man Cybern B Cybern 20(2):141–150
Yager RR, Kreinovich V (2003) Universal approximation theorem for uninorm-based fuzzy systems modeling. Fuzzy Sets Syst 140:331–339
Yager RR, Kacprzyk J, Beliakov G (eds) (2011) Recent developments in ordered weighted averaging operators: theory and practise. Springer, Berlin
Yeh KC, Chen RS, Chen CC (2011) Intelligent service-integrated platform based on the RFID technology, and software agent system. Expert Syst Appl 38:3058–3068
Zhou L, Chen H, Liu J (2011) Generalized weighted exponential proportional aggregation operators and their applications to group decision making. Appl Math Model 36:4365–4384
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Rodger, J.A., Pankaj, P. & Gonzalez, S.P. Decision making using a fuzzy induced linguistic ordered weighted averaging approach for evaluating risk in a supply chain. Int J Adv Manuf Technol 70, 711–723 (2014). https://doi.org/10.1007/s00170-013-5311-4
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DOI: https://doi.org/10.1007/s00170-013-5311-4