Title

Order Quantity Distributions: Estimating an Adequate Aggregation Horizon

Journal title

Management and Production Engineering Review

Yearbook

2016

Issue

No 3

Authors

Poul Svante Eriksen ; Nielsen, Peter

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

2016

Identifier

DOI: 10.1515/mper-2016-0024

Source

Management and Production Engineering Review; 2016; No 3

References

Mira (1999), Distribution - free test for symmetry based on Bonferroni s measure of, Journal Applied Statistics, 26, 959, doi.org/10.1080/02664769921963 ; Bobko (1985), The coefficient of variation as a factor in MRP research, Decision Sciences, 16, 420, doi.org/10.1111/j.1540-5915.1985.tb01493.x ; Chen (2010), Performance analysis of demand planning approaches for aggregating forecasting and disaggregating interrelated demands of, International Journal Production Economics, 128. ; Pujawan (2003), Properties of lot - sizing rules under lumpy demand of, International Journal Production Economics, 81. ; Brander (2005), Lot sizes in a capacity constrained facility - a simulation study of stationary stochastic demand of, International Journal Production Economics, 93. ; Axäster (1986), On the feasibility of aggregate production plans, Operations Research, 34, 796, doi.org/10.1287/opre.34.5.796 ; Lau (2003), Nonrobustness of the Normal Approximation of Lead - Time Demand in a System, Naval Research Logistics, 50, 149, doi.org/10.1002/nav.10053 ; Tsubone (1996), Replanning timing in hierarchical production planning of, International Journal Production Economics, 44, 53, doi.org/10.1016/0925-5273(95)00092-5 ; Axäster (1981), Aggregation of product data for hierarchical production planning, Operations Research, 29, 44. ; Zotteri (2005), The impact of aggregation level on forecasting performance of, International Journal Production Economics, 93. ; Becker (2006), A survey on problems and methods in generalized assembly line balancing of, European Journal Operational Research, 168, 694, doi.org/10.1016/j.ejor.2004.07.023 ; Fliedner (1999), An investigation of aggregate variable time series forecast strategies with specific subaggregate time series statistical correlation Computers &, Operations Research, 26, 1133. ; Nilakantan (2016), Design of energy efficient RAL system using evolutionary algorithms, Engineering Computations, 33, 580, doi.org/10.1108/EC-11-2014-0232 ; Cabilio (1996), A simple test of symmetry about an unknown median The Canadian of, Journal Statistics, 24, 349. ; Feng (2011), Setting planned orders in master production scheduling under demand uncertainty of, International Journal Production Research, 49, 13, doi.org/10.1080/00207543.2010.495955 ; Wijngaard (1982), On Aggregation in Production Planning Engineering Costs and Production, Economics, 6, 259. ; Silver (1981), Operations Research in Inventory Management and Critique, Review Operations Research, 29, 628, doi.org/10.1287/opre.29.4.628 ; Bocewicz (2014), Iterative multimodal processes scheduling in, Annual Reviews Control, 38, 113, doi.org/10.1016/j.arcontrol.2014.03.011 ; Fliedner (2001), Hierarchical forecasting : issues and use guidelines Industrial &, Management Data Systems, 101, 1. ; Sitek (2008), A declarative framework for constrained search problems in ( including subseries Lecture Notes in Artificial Intelligence and Lecture in pp, Lecture Notes Computer Science Notes Bioinformatics, 5027.

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)