Kennzahlensysteme als Instrumente des Produktionscontrolling

Im vorliegenden Beitrag wird zunächst herausgearbeitet, dass Kennzahlen und Kennzahlensysteme im Produktionsbereich zahlreiche Einsatzmöglichkeiten aufweisen, ihnen eine hohe Bedeutung zukommt und sie in vielfältigen Ausprägungen vorgeschlagen bzw. genutzt werden. Um einen gezielten und systematischen Umgang mit Kennzahlensystemen zu ermöglichen, wird dann ein Vorgehensmodell für deren Gestaltung und Einsatz konzipiert. Für die strategische Ausrichtung von Produktionsbereichen bietet sich die Anwendung des Balanced Scorecard-Konzeptes an. Daher wird schließlich eine speziell auf Produktionsbereiche zugeschnittene, an den Gebieten der Produktionsplanung und -steuerung ansetzende Scorecard-Struktur vorgestellt. Ratios and ratio systems for the production area of enterprises have various potentialities for use. They are absolutely necessary in order to control the plans and results of production and are therefore an important instrument of controlling. Because of the amount of possible ratios the questions are to be answered which ratios should be used and how they can be combined to a system. Thus, a procedure model is developed, that shows the steps for a systematic and successful creation, use and adaption of ratio systems for production management. Additionally, the article proposes a concept for a balanced scorecard with two levels and a structure corresponding to the fields of production planning and scheduling systems. Keywords: kennzahlensysteme als instrument des produktionscontrolling

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PRODUCTION MANAGEMENT — SIMPLE OR COMPLEX

International Journal of Innovation and Technology Management ◽

10.1142/s0219877004000313 ◽

2004 ◽

Vol 01 (04) ◽

pp. 359-371 ◽

Cited By ~ 2

Author(s):

GIDEON HALEVI

Keyword(s):

Production Planning ◽

Production Scheduling ◽

Production Management ◽

Planning Method ◽

Complex Task ◽

Simple Task ◽

Planning And Scheduling ◽

Production Planning And Scheduling ◽

Planning Methods ◽

Delivery Dates

Theoretical production planning and scheduling is actually very simple task: The plant gets orders which defines the product, the quantity and delivery dates. The resources of the plants are known, the product bill of material is known and the task of production scheduling is to make sure that the orders will be ready on time, that's all. It seems strange that in order to meet this simple task, over 100 complex production planning methods were proposed. Some of the outstanding ones are: PICS; MRP; ERP; GT; TOC; FMS; IMS; CIM; CE; JIT; Kanaban; TQM; Agent…, AGILE etc. Yet the search for "THE" method is carried on. In this paper an attempt to analyze why production planning is regarded as a complex task, and why the search for "THE" production planning method is still an open topic for researchers. Furthermore, to demonstrate how introduction of flexibility will restore the simplicity of production planning.

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Special Issue on Production Planning and Scheduling

International Journal of Automation Technology ◽

10.20965/ijat.2015.p0209 ◽

2015 ◽

Vol 9 (3) ◽

pp. 209-209 ◽

Cited By ~ 1

Author(s):

Nobuhiro Sugimura ◽

Koji Iwamura ◽

Tomohiko Maeda

Keyword(s):

Production Planning ◽

Production Management ◽

Production Systems ◽

Distributed Simulation ◽

Resource Planning ◽

Shop Floor ◽

Special Issue ◽

Planning And Scheduling ◽

Processing Technologies ◽

Production Planning And Scheduling

This issue focuses on production planning and scheduling for production system and the related problems that have arisen in these areas in the last half century as digital computer systems developed. These problems relate to production management, production planning, shop floor control, product design and process planning. In the first stage of production planning and scheduling systems R&D, optimization is a key issue that has been widely discussed and many theories and optimization algorithms proposed. Rule-based methods are discussed as potential solutions to these problems. With rapid advances in computer and information processing technologies and performance, tremendous progress has been made in the areas of production systems such as production planning, production scheduling, advances production systems (APS), enterprise resource planning (ERP), just-in time (JIT) processes, the theory of constraint (TOC), product data management (PDM) and computer-aided design / manufacturing / engineering (CAD/CAM/CAE). This special issue addresses the latest research advances, applications, and case studies in production planning and scheduling covering such as decentralized and autonomous production systems, distributed simulation models, robust capacity planning models, wireless sensor networks for production systems and applications to automotive component and steel production. We hope that learning about these advances will enable readers to share their own experience and knowledge in technology, new developments and the potential applications of production planning and scheduling methods and solutions.

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