Master Production Scheduling and A Comparison of Material Requirements Planning and Cover-Time Planning (original) (raw)
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An alternative to the more commonly known Material Requirements Planning (MRP) is presented. The technique is based on a coverage analysis and is called Cover-Time Planning (CTP); CTP is in fact a reorder-point system, but with time instead of quantity as the decision variable. Similar to Kanban CTP restricts the total amount of an item but in the CONWIP way, not in every machine, but the total amount in stock and in the route from its components. Contrary to traditional reorder-point systems CTP uses the information in the bills of material to present forecasts for all possible component items. CTP shows inherent priority numbers and like MRP CTP makes it possible to estimate future work load. The main principle behind CTP is to wait as long as possible before production starts; to wait so that it is more exactly known what the customer asks for and by that avoid to tie up material and components in something that the customer will not ask for.
Production planning systems and their applicability to make-to-order companies
European Journal of Operational Research, 1989
Most of the research in the production planning area has been aimed at the needs of Make-To-Stock (MTS) companies. The make-to-order sector, although constituting an important part of world industry, has received relatively little attention. This neglect may be based on an assumption that the systems developed for MTS firms can also be used by MTO companies. However, the requirements of the two sectors are quite different. This paper sets out to identify these differences and to determine whether the research to date can meet the needs of the MTO sector. Many important application areas are considered, these include production scheduling, capacity control and the setting of delivery dates. Popular production planning approaches, including MRP II, OPT and JIT, are also discussed. It is shown that there is a need for more research to provide production planning systems which have been designed specifically for the MTO sector.
Integrated Production-Inventory Planning In ERP Systems
7th International Conference on Production Engineering and Design, PEDD 2006, 2006
This paper presents an integrated production/inventory planning model. The model is implemented within an Enterprise Resource Planning (ERP) system to generate optimum, constrained operational production plans and replenishment schedules. The model is applied to a process industry consisting of a single line, multi-stage, producing multiple -products. The existence of co-products and the related decisions is the main feature incorporated. Considerable cost reduction is obtained due to the consideration of all production outputs in the production planning process, as compared to the current trial and error procedure for developing production plans.
INTEGRATED PRODUCTION-INVENTORY PLANNING IN AN ENTERPRISE RESOURCE PLANNING ENVIRONMENT
International conference on Production Engineering Design and Control, PEDAC 2004, 2004
This paper presents a framework for a dynamic integrated production planning and inventory control system. The IPPIC system is integrated with the existing Enterprise Resource Planning (ERP) system to generate feasible, constrained operational production plans and replenishment schedules. The suggested framework considers production quantity constraints, safety stock requirements, and demand fluctuations. The framework is applied for a single line, multi-stage, multi-product edible oil processing firm. Due to process requirements, a push-pull point is established in the production line. Basic products are "pushed" to inventory according to a master schedule based on forecasts, then final products are "pulled" or customized to order. Also, the existance of co-products and their impact has been addressed. The proposed system is expected to improve customer service level and cost reduction.
Integrated Production-Inventory planning with make to order and make to stock considerations
The 36th CIE Conference on Computers & Industrial Engineering, 2006
This paper presents an integrated production/inventory planning model. The model is employed within an Enterprise Resource Planning (ERP) system to generate feasible, constrained operational production plans and replenishment schedules. The model is applied to a process industry case of a single line, multi-stage, multi-product environment. The existence of co-products and the combined make-to-order and make-tostock (MTO-MTS) production planning strategy are the main features incorporated. A framework for integrating MTO-MTS production strategies is proposed.
Capacity driven due date settings in make-to-order production systems
International Journal of Production Economics, 1997
Due date setting is a difficult task for make-to-order companies and requires efficient capacity and lead time management. In the job-shop literature, production planning for make-to-order companies is tackled by using shop floor scheduling algorithms coupled with simulation. However, capacity management cannot be realized in the most detailed phase of planning and should be carried out at a higher decision level so that work loads are smoothed over time.
A Modelling Technique for Production Planning
1992
The purpose of a production plan is to help elaborating and combining decisions on a mean-term or a long-term basis. This objective explains why planning problems can only be solved for models generally obtained by aggregation and simplification. In the framework of an integrated decision structure, a production plan needs to be refined and specified through a detailed scheduling of operations on the various machines. The production planning model presented in this paper is a discrete-time input-output model. It allows the use of optimal control methods. There is a correspondence between this model and the queueing network model describing the manufacturing system. This correspondence provides a direct interpretation of the decision variables of the planning problem as the reference values for the real-time release of processing orders.
Re-planning support system for make-to-order production with reserved resources
International Journal of Production Research
Make-to-order production is often organized into projects with their own objectives. Such projects use strategic and critical resources that must be reserved at a strategic or a tactical planning level. When external resources need to be taken into consideration, they must be reserved based on their set of free time windows. A medium-term planning support system for the manager of a project where external resources are critical is proposed. By providing explanations for project inconsistencies, this system enables the decision-maker to restore consistency. After creating the initial medium-term plan, planning activity essentially consists in updating the existing schedule of a project when unexpected events arise. These may be due to internal or external disturbances. Indicators are proposed to help the manager follow the dynamic impact the disturbances will have on the project.
A Mathematical Model for Production Planning and Scheduling in a Production System: A Case Study
2019
Integration in decision making at different organizational and time levels has important implications for increasing the profitability of organizations. Among the important issues of medium-term decision-making in factories, are production planning problems that seek to determine the quantities of products produced in the medium term and the allocation of corporate resources. Furthermore, at short-term, jobs scheduling and timely delivery of orders is one of the vital decision-making issues in each workshop. In this paper, the production planning and scheduling problem in a factory in the north of Iran is considered as a case study. The factory produces cans and bins in different types with ten production lines. Therefore, a mixed integer linear programming (MILP) model is presented for the integrated production planning and scheduling problem to maximize profit. The proposed model is implemented in the GAMS software with the collected data from the real environment, and the optimal...