Title

Lead Times – Their Behavior and the Impact on Planning and Control in Supply Chains

Journal title

Management and Production Engineering Review

Yearbook

2017

Issue

No 2

Authors

Nielsen, Peter ; Michna, Zbigniew ; Sørensen, Brian Bruhn ; Dung, Ngoc Do Anh

Keywords

Wydział IV Nauk Technicznych

Divisions of PAS

Wydział IV Nauk Technicznych

Publisher

Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management

Date

2017

Identifier

DOI: 10.1515/mper-2017-0015

Source

Management and Production Engineering Review; 2017; No 2

References

Buchmeister (2008), Bullwhip effect problem in supply chains Advances in Production, Engineering Management, 3, 45. ; Sitek (2015), A hybrid framework for the modelling and optimisation of decision problems in sustainable supply chain management, International Journal of Production Research, 53, 6611. ; Singh (2014), Prioritising the alternatives for flexibility in supply chains, Production Planning & Control, 25, 176. ; Kim (2006), Quantifying the bullwhip effect in a supply chain with stochastic lead time, European Journal of Operational Research, 173, 617. ; Gross (1969), The effect of reducing leadtime on inventory levels - simulation analysis, Management Science, 16, 61. ; Lee (1997), Information distortion in a supply chain : the bullwhip effect, Management Science, 43, 546. ; Chatfield (2004), The bullwhip effect impact of stochastic lead time information quality and information sharing : a simulation study, Production and Operations Management, 13, 340. ; Wang (2017), Mitigating variance amplification under stochastic lead - time : the proportional control approach, European Journal of Operational Research, 256, 151. ; Nielsen (2014), An empirical investigation of lead time distributions IFIP International Conference on Advances in, Production Management Systems. ; Eppen (1988), Determining safety stock in the presence of stochastic lead time and demand, Management Science, 34, 1380. ; Chen (2000), Quantifying the bullwhip effect in a simple supply chain : The impact of forecasting lead times and information, Management Science, 46, 436. ; Mascle (2014), Inventory management maximization based on sales forecast : case study, Production Planning & Control, 25, 1039. ; Lee (1997), The bullwhip effect in supply chains, MIT Sloan Management Review, 38, 93. ; Michna (2013), The bullwhip effect in supply chains with stochastic lead times, Mathematical Economics, 9, 71. ; Eriksen (2016), Order quantity distributions : estimating an adequate aggregation horizon Management and, Production Engineering Review, 7, 39. ; Otto (2003), Does supply chain management really pay ? Six perspectives to measure the performance of managing a supply chain, European Journal of Operational Research, 144, 306. ; Ghaffari (2013), Analysis of the bullwhip effect with multi - echelon multi - product supply chains, International Journal of Industrial Engineering Computations, 4, 579. ; Wikner (1991), Smoothing supply chain dynamics, International Journal of Production Economics, 22, 231. ; Sitek (2014), A hybrid multiagent approach to the solving supply chain problems, Procedia Computer Science, 35, 1557. ; Chaharsooghi (2010), LT variance or LT mean reduction in supply chain management : which one has a higher impact on SC performance ?, International Journal of Production Economics, 124, 475. ; Song (1994), The effect of leadtime uncertainty in a simple stochastic inventory model, Management Science, 40, 603. ; Bagchi (1986), The effect of lead - time variability : the case of independent demand, Journal of Operations Management, 6, 159. ; Nielsen (2010), Optimizing supply chain waste management through the use of RFID technology Proceedings of International Conference on RFID - Technology and Applications RFID - TA pp, IEEE, 296. ; Bocewicz (2013), Declarative approach to cyclic steady state space refinement : periodic process scheduling, The International Journal of Advanced Manufacturing Technology, 67, 1. ; So (2003), Impact of supplier s lead time and forecast demand updating on retailer s order quantity variability in a two - level supply chain, International Journal of Production Economics, 86, 169. ; McCullen (2002), Diagnosis and reduction of bullwhip in supply chains Supply Chain Management : An, International Journal, 7, 164. ; Disney (2016), Inventory management for stochastic lead times with order crossovers, European Journal of Operational Research, 248, 473. ; Metters (1997), Quantifying the bullwhip effect in supply chains, Journal of Operations Management, 15, 89.

Aims and scope

MISSION STATEMENT Management and Production Engineering Review (MPER) is a peer-refereed, international, multidisciplinary journal covering a broad spectrum of topics in production engineering and management. Production engineering is a currently developing stream of science encompassing planning, design, implementation and management of production and logistic systems. Orientation towards human resources factor differentiates production engineering from other technical disciplines. The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on production management, organisation of production processes, manage- ment of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, forecasting, modelling and simu- lation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization and logistics. Management and Production Engineering Review is published under the auspices of the Polish Academy of Sciences Committee on Production Engineering and Polish Association for Production Management. The main purpose of Management and Production Engineering Review is to publish the results of cutting- edge research advancing the concepts, theories and implementation of novel solutions in modern manufacturing. Papers presenting original research results related to production engineering and management education are also welcomed. We welcome original papers written in English. The Journal also publishes technical briefs, discussions of previously published papers, book reviews, and editorials. Letters to the Editor-in-Chief are highly encouraged.
SUBMISSION Papers for submission should be prepared according to the Authors Instructions available at: www.journals.pan.pl/mper
SUBSCRIPTION Only subscription guarantees receiving this journal. Subscription orders stating the period of time, along with the subscriber’s name and address should be sent directly to biuro@ptzp.org.pl. Back issues of all previously published volumes are available on request. Subscription price for 2023, Volume 14, including postage and handling, is 240 PLN.

Abstracting & Indexing

Index Copernicus
Web of Science - Clarivate (ESCI)
Scopus - Elsevier
SCIMAGO:
(CiteScore 2020 - 2.5
SJR 2020 - 0.332
SNIP 2020 - 1.061)