Abstract
This chapter commences with a discussion of the use and non-use of data within manufacturing and proceeds by investigating measures of optimality used to assess the benefits of an efficient and effective planning and control system indicating the commonly used approaches to production planning and control and the data needs of these techniques. Finally, we present models for typical manufacturing firms which have been derived from a series of case studies. Operating practices in small and larger manufacturing firms are compared so as to deduce optimal approaches to their production planning and control systems and their implied data requirements.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brown KA, Mitchell TR (1991) A comparison of just-in-time and batch manufacturing: the role of performance obstacles. Acad Manag J 34(4)
Burbridge JL (1978) The principles of production control. McDonald and Evans
Buzacott JA, Shanthikumar JG (1993) Stochastic models of manufacturing systems. Prentice Hall
Holliday R (1995) Investigating small firms. Routledge
Hopp WJ, Spearman ML (1996) Factory physics: foundations of manufacturing management. Irwin
Ohno T, Mito S (1988) Just-in-time. Productivity Press
Otley DT, Berry J (1980) Control organisations and accounting. Account Organis Soc 5(2)
Schonberger RJ, Knod EM (1994) Operations management: continuous improvement. Irwin
Taylor FW (1911) Scientific management. Harper Brothers
Wilson JM (1995) Henry Ford’s just in time system. Int J Oper Prod Manag
Zapfel G, Missbauer H (1993) New concepts for production planning and control. Euro J Oper Res 67:297–320
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Hill, R., Berry, S. (2021). Data for Production Planning and Control. In: Guide to Industrial Analytics. Texts in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-79104-9_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-79104-9_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-79103-2
Online ISBN: 978-3-030-79104-9
eBook Packages: Computer ScienceComputer Science (R0)