Information sharing in supply chains: An empirical and theoretical valuation

Management Science

Volumn 61, Issue 11, 2015, Pages 2803-2824

  Cui, Ruomeng ^a   Allon, Gad ^b   Bassamboo, Achal ^b   Van Mieghem, Jan A ^b  

^a INDIANA UNIVERSITY   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Autoregressive integrated moving average process; Decision deviation; Empirical forecasting; Information sharing; Signal propagation; Supply chain; Time series

Indexed keywords

DECISION MAKING; FORECASTING; INFORMATION ANALYSIS; SUPPLY CHAINS; TIME SERIES;

AUTOREGRESSIVE INTEGRATED MOVING AVERAGE PROCESS; CONSUMER PACKAGED GOODS; DECISION DEVIATION; INFORMATION SHARING; SIGNAL PROPAGATION; THEORETICAL MODELING; TWO-STAGE SUPPLY CHAINS; VALUE OF INFORMATION SHARING;

INFORMATION DISSEMINATION;

EID: 84946782406     PISSN: 00251909     EISSN: 15265501     Source Type: Journal    
DOI: 10.1287/mnsc.2014.2132     Document Type: Article

References (34)

1. Aviv Y (2001) The effect of collaborative forecasting on supply chain performance. Management Sci. 47(10):1326-1343.
2. Aviv Y (2003) A time-series framework for supply chain inventory management. Oper. Res. 51(2):210-227.
3. Balakrishnan A, Geunes J, Pangburn MS (2004) Coordinating supply chains by controlling upstream variability propagation. Manufacturing Service Oper. Management 6(2):163-183.
4. Bray RL, Mendelson H (2012) Information transmission and the bullwhip effect: An empirical investigation. Management Sci. 58(5):860-875.
5. Brockwell PJ, Davis RA (2002) Introduction to Time Series and Forecasting (Springer, New York).
6. Cachon GP, Fisher M (2000) Supply chain inventory management and the value of shared information. Management Sci. 46(8):1032-1048.
7. Cachon GP, Randall T, Schmidt GM (2007) In search of the bullwhip effect. Manufacturing Service Oper. Management 9(4):457-479.
8. Caplin AS (1985) The variability of aggregate demand with (s, S) inventory policies. Econometrica 53(6):1395-1409.
9. Chen F, Ryan JK, Simchi-Levi D (2000a) The impact of exponential smoothing forecasts on the bullwhip effect. Naval Res. Logist. 47(4):269-286.
10. Chen F, Drezner Z, Ryan JK, Simchi-Levi D (2000b) Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information. Management Sci. 46(3):436-443.
11. Chen L, Lee HL (2009) Information sharing and order variability control under a generalized demand model. Management Sci. 55(5):781-797.
12. Cohen MA, Ho TH, Ren ZJ, Terwiesch C (2003) Measuring imputed cost in the semiconductor equipment supply chain. Management Sci. 49(12):1653-1670.
13. Dong Y, Dresner M, Yao Y (2014) Beyond information sharing: An empirical analysis of vendor-managed inventory. Production Oper. Management 23(5):817-828.
14. Gaur V, Giloni A, Seshadri S (2005) Information sharing in a supply chain under ARMA demand. Management Sci. 51(6):961-969.
15. Gilbert K (2005) An ARIMA supply chain model. Management Sci. 51(2):305-310.
16. Giloni A, Hurvich C, Seshadri S (2014) Forecasting and information sharing in supply chains under ARMA demand. HE Trans. 46(1):35-54.
17. Graves SC (1999) A single-item inventory model for a nonstationary demand process. Manufacturing Service Oper. Management 1(1):50-61.
18. Graves SC, Kletter DB, Hetzel WB (1998) A dynamic model for requirements planning with application to supply chain optimization. Oper. Res. 46(3):S35-S49.
19. Hamilton JD (1994) Time Series Analysis (Princeton University Press, Princeton, NJ).
20. Heath DC, Jackson PL (1994) Modelling the evolution of demand forecasts with application to safety stock analysis in production/distribution systems. HE Trans 26(3):17-30.
21. Irvine FO (1981) Retail inventory investment and the cost of capital. Amer. Econom. Rev. 71(4):633-648.
22. Kesavan S, Gaur V, Raman A (2010) Do inventory and gross margin data improve sales forecasts for U. S.public retailers? Management Sci. 56(9):1519-1533.
23. Ledesma G (2004) Waste not, want not. Material Handling & Logistics (April 1), http://mhlnews.com/global-supply-chain/waste-not-want-not.
24. Lee HL, Padmanabhan V, Whang S (1997) Information distortion in a supply chain: The bullwhip effect. Management Sci. 43(4):546-558.
25. Lee HL, So KC, Tang CS (2000) The value of information sharing in a two-level supply chain. Management Sci. 46(5):626-643.
26. Miyaoka J, Hausman W (2004) How a base stock policy using "stale" forecasts provides supply chain benefits. Manufacturing Service Oper. Management 6(2):149-162.
27. Osadchiy N, Gaur V, Seshadri S (2013) Sales forecasting with financial indicators and experts' input. Production Oper. Management 22(5):1056-1076.
28. Plosser CI, Schwert GW (1997) Estimation of a non-invertible moving average process: The case of overdifferencing. J. Econometrics (6):199-244.
29. Retail Info Systems News (2013) Costco improves CRX supplier data technology platform. (April 22), http://risnews.edgl.com/retail-news/Costco-Improves-CRX-Supplier-Data-Technology-Platform86002.
30. Rust J (1994) Structural estimation of Markov decision processes. Engle RF, McFadden DL, eds. Handbook of Econometrics, Vol. 4 (North-Holland, Amsterdam), 3081-3143.
31. Schweitzer ME, Cachon GP (2000) Decision bias in the newsvendor problem with a known demand distribution: Experimental evidence. Management Sci. 46(3):404-420.
32. Terwiesch C, Ren ZJ, Ho TH, Cohen MA (2005) An empirical analysis of forecast sharing in the semiconductor equipment supply chain. Management Sci. 51(2):208-220.
33. Van Donselaar KH, Gaur V, Van Woensel T, Broekmeulen RACM, Fransoo JC (2010) Ordering behavior in retail stores and implications for automated replenishment. Management Sci. 56(5):766-784.
34. Wold H (1938) A Study in the Analysis of Stationary Time Series (Almqvist and Wiksell, Uppsala, Sweden).