Capacity Planning and Analysis (original) (raw)
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An application of a unified capacity planning system
International Journal of Operations & Production Management, 2005
PurposeThis paper aims to present a unified approach for effective capacity management, with the flexibility to position the organization across differing market‐orientations, anywhere from produce‐to‐stock to purchase‐and‐produce‐to‐order.Design/methodology/approachThe unified planning system combines capacity management with the external market through the customer order decoupling point (CODP). The approach starts by determining the CODP, using commonality and effect‐cause‐effect analysis. The resulting CODP information is then used to determine the optimal master production schedule (medium‐term), as well as the detailed schedule (short‐term) at the bottleneck resource, using mathematical programming; to support decisions across different planning horizons in an integrated fashion.FindingsThis unified approach was applied to an electronics manufacturing company in the Netherlands. The unified capacity planning system not only reduces the number of capacity problems to be solved ...
Capacity Oriented Analysis and Design of Production Systems
1989
DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:
Capacity and Inventory Management: Review, Trends, and Projections
Manufacturing & Service Operations Management
DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:
A New Model for Determining Production Capacity
PROOF, 2021
Traian Alexandru Buda, EThis paper introduces a new model for computing the production capacity in a manufacturing system or in a supply chain. Solving the production capacity problem means to be able to answer the following question: how many parts, from each product, can be produced by a given manufacturing system in a given time span considering the product mix and a multi-stage Bill of Materials? The proposed model is able to determine the production capacity and the loading level per resource for a manufacturing system using as inputs the Bill of Materials, Routing file, time span and product mix. The novelty brought by this method consists in the adoption of the matrix calculus in order to manipulate the inputs to obtain the requested outputs. The opportunity of such a model is that it offers the complete view on the capacity problem with a full range of answers: the available and required capacity at resource and finished product level and the loading level for each resource....
Design of Advanced Manufacturing Systems, 2005
Inputs and outputs of the model [A1-1]-M1. 2.3 Membership functions for the values low", medium", and high". 2.4 Inputs and outputs of the four fuzzy systems of the model [A1-1]-M1. 2.5 Inputs and outputs of the models [A1-1]-M2. 2.6 Inputs and outputs of the two fuzzy systems of the model [A1-1]-M2. 2.7 The initial menu form. 2.8 The form Models for project mapping. 2.9 The form for outsourcing constraint determination. 2.10 The form for flexibility identification. 2.11 The form for the strategic evaluation of product flexibility. 2.12 Form for the strategic evaluation of the manufacturing capacity. 2.13 The form of the optimization results. vii " " viii DESIGN OF ADVANCED MANUFACTURING SYSTEMS 2.14 A sketch of the output txt file. 2.15 Scenario 1 Output. 2.16 Scenario 2 Output. 3.1 Scenario tree for a two-stage problem. 3.2 Convexity of the recourse function and approximation by support hyperplanes. 3.3 Scenario tree for multi-stage stochastic programming. 3.4 Split-variable view of an event tree. 3.5 Graphical interpretation of plant location formulation. 4.1 A3 context diagram. 4.2 Example of the output of A3. 4.3 Flow lines. 4.4 Layout of FMS. 4.5 A3 level diagram. 4.6 Example of unreachable node. 4.7 Example of unleaveble node. 4.8 Decomposition method of a flow line with 5 machines. 4.9 Flow line with K machines. 4.10 Two-machine line. 4.11 Queueing network of modelled FMS. 4.12 Multiple-class server in isolation. 4.13 Decomposition of a multiple-class server in isolation mode. 4.14 Aggregation of customers in one class. xiv DESIGN OF ADVANCED MANUFACTURING SYSTEMS has to make and the nature of information that is available at the moment of the decision. The following chapters contain the decision models this book proposes to support managers in the capacity planning problem, from the decision on the type of manufacturing systems to adopt to their detailed configuration in terms of resources (machines, buffers, transporters, etc.). Given the organization of the volume, the reading of Chapter 1 is particularly suggested in the reading of the book. We want to acknowledge the MIUR (Ministero dell'Istruzione, dell' Universita e della Ricerca) which funded this research. Indeed, the content represents the result of a two years Italian research project Models for Capacity Planning in Advanced Manufacturing Systems funded by MIUR in 2000. Five universities participated in the project: Politec
In this chapter, we discuss some of the modeling methods available for use by health care organizations in determining the level of resources to make available for the delivery of a service or a set of services. We focus mainly on the insights available from different forms of queuing model but discuss also the role of simulation modeling. We then outline the challenges faced in populating capacity planning models with appropriate parameter estimates before closing with some remarks on the non-technical, cultural barriers to effective capacity planning.
Managerial perspectives for improving resource utilisation by applying the cost of unused capacity
International Journal of Business and Systems Research, 2009
For production managers, the traditional measures for evaluation resource usage are capacity utilisation and efficiency. These measures concentrate on the amount of resources used, and ignore the value of resources left idle. The concept of the cost of unused capacity developed in conjunction with activity-based costing by Cooper and Kaplan makes it possible to present information for managers about the value of idle resources as well. In this article, a continuous flow operation and a part manufacturing operation are used to illustrate the application of the cost of unused capacity in production and capacity planning-related decisions. of manufacturing and service operations and mathematical modelling of manufacturing and service systems. He has a special interest in flexible manufacturing.
2021
In today's dynamic business environment, the success and competitiveness of any production organization is ensured by continuous improvement, sustainable development, effective planning and management. There is a growing scientific interest in the importance and relevance of production management in view of the strong need to redefine the policies and priorities within the respective strategic plan for business development with increased focus on capacity planning in order for the industrial enterprises to adapt successfully to the dynamically changing conditions of the global environment and intense competition. Accordingly, full advantage is taken from the ample opportunities to study the impact of a number of factors on capacity planning and management. Based on an in-depth literature analysis, interviews and surveys, selected were 18 key factors that have a profound influence on the effective planning and capacity management of the production organization. Using the relation...
Analysis of the Role of Capacity Management and Planning on the Success of the Businesses
International Journal of Management Studies, 2019
The main aim of this report is to explore the role, which capacity management and capacity planning plays in the overall success of businesses. The findings of this paper indicates that some of the main roles, which are played by capacity planning include: making the businesses to operate on the best operating levels, improving the level of efficiency of the businesses, making the organizations to be in a position to cut on the costs of operations, making the businesses to be able to have accurate forecasts, making the businesses to improve on the quality of the products and services, which they offer and making the organizations to be able to meet the needs and expectations of their customers. These factors result in the overall business success.