Stumbling blocks of PPC: Towards the holistic configuration of PPC systems

Abstract

Manufacturing companies often complain about the difficulties they face in meeting their customers' logistic requirements. Many blame the perceived inadequacies of their production planning and control (PPC) software for their performance deficits. The paper illustrates why this is only a partial view of the causes of the shortcomings. PPC software is just one of six configuration aspects of the entire PPC system. The authors argue that the configuration of the PPC aspects objectives, processes, objects, functions, responsibilities and tools has to be carried out methodically and consistently in order for the PPC system to function properly. The analysis of examples of so-called "stumbling blocks" of PPC, inadequate configurations of one or several of the aspects, supports this claim. The paper closes with the proposal of a checklist that the authors suggest as a first approach to ensure the consistent configuration of PPC systems

Advanced resource planning as a decision support module for ERP

“…This paper aids in bridging this gap by providing an Advanced Resource Planning (ARP) module as Decision Support Module (DSM) to ERP. Indeed, it will become clear in what follows that the module helps in setting more realistic PPC parameters (which is one of the stumbling blocks of PPC as reported by Wiendahl et al (2005)), dynamically adjusting the parameters through some sort of Parameter Review Process and improving the structure of the ERP system itself. The development of the ARP module is also in line with the idea advocated by Jacobs and Weston (2007) that the academic community should play a much more active role in the development of intelligent software logic that can be used by real companies with respect to ERP.…”

Coupling order release methods with autonomous control methods – an assessment of potentials by literature review and discrete event simulation

“…The traditional function of production control is to realise the production plan also under -potentially unavoidable -disruptions (Wiendahl, von Cieminski & Wiendahl, 2005). A basic model of production control according to Lödding (2013) is shown in Figure 4.…”

Consumers, clothing retailers and production planning and control in the smart city

“…In order to help achieve this internal and external synchronisation, a wide range of PPC technologies, methodologies and philosophies have been developed, which can appear to be in conflict with one another (Zäpfel and Missbauer, 1993;Wiendahl et al, 2005;Zadeh et al, 2014). These are usually based on one of two approaches to PPC: the top down, push system of material requirement planning, as exemplified by a MRP II, and the JIT, bottom up, pull system as exemplified by Kanban (Mazany, 1995;Morecroft, 1983).…”