zbMATH — the first resource for mathematics

Examples
Geometry Search for the term Geometry in any field. Queries are case-independent.
Funct* Wildcard queries are specified by * (e.g. functions, functorial, etc.). Otherwise the search is exact.
"Topological group" Phrases (multi-words) should be set in "straight quotation marks".
au: Bourbaki & ti: Algebra Search for author and title. The and-operator & is default and can be omitted.
Chebyshev | Tschebyscheff The or-operator | allows to search for Chebyshev or Tschebyscheff.
"Quasi* map*" py: 1989 The resulting documents have publication year 1989.
so: Eur* J* Mat* Soc* cc: 14 Search for publications in a particular source with a Mathematics Subject Classification code (cc) in 14.
"Partial diff* eq*" ! elliptic The not-operator ! eliminates all results containing the word elliptic.
dt: b & au: Hilbert The document type is set to books; alternatively: j for journal articles, a for book articles.
py: 2000-2015 cc: (94A | 11T) Number ranges are accepted. Terms can be grouped within (parentheses).
la: chinese Find documents in a given language. ISO 639-1 language codes can also be used.

Operators
a & b logic and
a | b logic or
!ab logic not
abc* right wildcard
"ab c" phrase
(ab c) parentheses
Fields
any anywhere an internal document identifier
au author, editor ai internal author identifier
ti title la language
so source ab review, abstract
py publication year rv reviewer
cc MSC code ut uncontrolled term
dt document type (j: journal article; b: book; a: book article)
Optimal newsvendor policies for dual-sourcing supply chains: A disruption risk management framework. (English) Zbl 1251.90042
Summary: We propose generic single period (newsvendor-type) inventory models for capturing the trade-off between inventory policies and disruption risks in a dual-sourcing supply chain network both unconstrained and under service level constraints, where both supply channels are susceptible to disruption risks. The models are developed for both risk neutral and risk-averse decision-makers and can be applicable for different types of disruptions related among others to the supply of raw materials, the production process, and the distribution system, as well as security breaches and natural disasters. Analytical closed-form solutions are obtained and interesting managerial insights on the merit of contingency strategies in managing uncertainties and risks in dual-sourcing supply chains are discussed.
MSC:
90B05Inventory, storage, reservoirs
90B06Transportation, logistics
References:
[1]Tett G. Global insight: New world of supply chains. Financial Times; August 12th, 2009.
[2]Milne R. Crisis and climate force supply chain shift. Financial Times; August 9th, 2009.
[3]Wadhwa, V.; Ravindran, A. R.: Vendor selection in outsourcing, Computers & operations research 34, 3725-3737 (2007)
[4]Financial Times. Supply-chain disruptions to hit big groups. March 13th, 2011.
[5]World Economic Forum. Global risks 2008. Report of Global Risk Network 2008; January.
[6]Hubbard, D.: The failure of risk management: why it’s broken and how to fix it?, (2009)
[7]Sheffi Y., Rice Jr J.B., Caniato F., Fleck J., Disraelly D., Lowtan D., Lensing R., Pickett C. Supply chain response to terrorism: creating resilient and secure supply chains. Supply Chain Response to Terrorism Project–Interim report, MIT Center for Transportation and Logistics, 2003.
[8]Ross, A. M.; Rong, Y.; Snyder, L. V.: Supply disruptions with time-dependent parameters, Computers & operations research 35, 3504-3529 (2008) · Zbl 1146.90323 · doi:10.1016/j.cor.2007.01.018
[9]Veeraraghavan, S.; Scheller-Wolf, A.: Now or later: a simple policy for effective dual sourcing in capacitated systems, Operations research 56, No. 4, 850-864 (2008) · Zbl 1167.90358 · doi:10.1287/opre.1080.0552
[10]Sheffi, Y.: The resilient enterprise: overcoming vulnerability for competitive advantage, (2005)
[11]Agrawal, V.; Seshadri, S.: Risk intermediation in supply chains, IIE transactions 32, 819-831 (2000)
[12]Federgruen, A.; Yang, N.: Optimal supply diversification under general supply risks, Operations research 57, No. 6, 1451-1468 (2009) · Zbl 1233.90188 · doi:10.1287/opre.1080.0667
[13]Kleindorfer, P. R.; Saad, G. H.: Managing disruption risks in supply chains, Production and operations management 14, No. 1, 53-68 (2005)
[14]Nahmias, S.: Production and operations analysis, (2009)
[15]Hendricks, K. B.; Singhal, V. R.: Association between supply chain glitches and operating performance, Management science 51, No. 5, 695-711 (2005)
[16]LCP Consulting, Centre for Logistics and Supply Chain Management. Understanding supply chain risk: A self-assessment workbook. Cranfield University: School of Management, Department for Transport, 2003.
[17]Henig, M.; Gerchak, Y.: The structure of periodic review policies in the presence of variable yield, Operations research 38, 634-643 (1990) · Zbl 0721.90034 · doi:10.1287/opre.38.4.634
[18]Moinzadeh, K.; Aggarwal, P. K.: Analysis of a production/inventory system subject to random disruptions, Management science 43, 1577-1588 (1997) · Zbl 0902.90048 · doi:10.1287/mnsc.43.11.1577
[19]Parlar, M.: Continuous-review inventory problem with random supply interruptions, European journal of operational research 99, 366-385 (1997) · Zbl 0930.90006 · doi:10.1016/S0377-2217(96)00165-8
[20]Ferrer, G.: Yield information and supplier responsiveness in remanufacturing operations, European journal of operational research 149, 540-556 (2003) · Zbl 1033.90027 · doi:10.1016/S0377-2217(02)00454-X
[21]Xia, Y.; Yang, M. H.; Golany, B.; Gilbert, S. M.; Yu, G.: Real-time disruption management in a two-stage production and inventory system, IIE transactions 36, 111-125 (2004)
[22]Xiao, T.; Qi, X.: Price competition, cost and demand disruptions and coordination of a supply chain with one manufacturer and two competing retailers, Omega 36, No. 5, 741-753 (2008)
[23]Keren, B.: The single-period inventory problem: extension to random yield from the perspective of the supply chain, Omega 37, No. 4, 801-810 (2009)
[24]Parlar, M.; Perry, D.: Inventory models of future supply uncertainty with single and multiple suppliers, Naval research logistics 43, 191-210 (1996) · Zbl 0870.90054 · doi:10.1002/(SICI)1520-6750(199603)43:2<191::AID-NAV3>3.0.CO;2-5
[25]Gurler, U.; Parlar, M.: An inventory problem with two randomly available suppliers, Operations research 45, 904-918 (1997) · Zbl 0895.90073 · doi:10.1287/opre.45.6.904
[26]Anupindi, R.; Akella, R.: Diversification under supply uncertainty, Management science 39, No. 8, 944-963 (1993) · Zbl 0785.90040 · doi:10.1287/mnsc.39.8.944
[27]Agrawal, N.; Nahmias, S.: Rationalization of the supplier base in the presence of yield uncertainty, Production and operations management 6, No. 3, 291-308 (1998)
[28]Tomlin, B.; Wang, Y.: On the value of mix flexibility and dual sourcing in unreliable newsvendor networks, Manufacturing & service operations management 7, No. 1, 37-57 (2005)
[29]Tomlin, B.: On the value of mitigation and contingency strategies for managing supply chain disruption risks, Management science 52, No. 5, 639-657 (2006) · Zbl 1232.90200 · doi:10.1287/mnsc.1060.0515
[30]Chopra, S.; Reinhardt, G.; Mohan, U.: The importance of decoupling recurrent and disruption risks in a supply chain, Naval research logistics 54, 544-555 (2007) · Zbl 1143.90302 · doi:10.1002/nav.20228
[31]Dada, M.; Petruzzi, N. C.; Schwarz, L. B.: A newsvendor’s procurement problem when suppliers are unreliable, Manufacturing & service operations management 9, No. 1, 9-32 (2007)
[32]Yang, S.; Yang, J.; Abdel-Malek, L.: Sourcing with random yields and stochastic demand: A newsvendor approach, Computers & operations research 34, 3682-3690 (2007) · Zbl 1127.90067 · doi:10.1016/j.cor.2006.01.015
[33]Yano, C.; Lee, H. L.: Lot sizing with random yields: A review, Operations research 43, No. 2, 311-334 (1995) · Zbl 0832.90031 · doi:10.1287/opre.43.2.311
[34]Khouja, M.: The single period (news-vendor) problem: literature review and suggestions for future research, Omega 27, 537-553 (1999)
[35]Tang, C. S.: Perspectives in supply chain risk management, International journal of production economics 103, 451-488 (2006)
[36]Minner, S.: Multiple-supplier inventory models in supply chain management: A review, International journal of production economics 81–82, 265-279 (2003)
[37]Vlachos, D.; Dekker, R.: Return handling options and order quantities for single period products, European journal of operational research 151, 38-52 (2003) · Zbl 1033.90029 · doi:10.1016/S0377-2217(02)00596-9
[38]Biehl, M.; Prater, E.; Realff, M. J.: Assessing performance and uncertainty in developing carpet reverse logistics systems, Computers & operations research 34, 443-463 (2007) · Zbl 1113.90016 · doi:10.1016/j.cor.2005.03.008