This work presents a development of a capable-to-promise system for companies that operate under the hybrid make-to-order and maketo-stock strategy in a lot-sizing and flowshop environment. Proposed system simultaneously considers planning and scheduling processes in order to achieve the optimality. Optimisation engine is based on an advanced evolutionary algorithm. Information available in ERP...

Production-distribution planning is the most important activity in supply chain management (SCM). To solve this planning problem, either analytic or simulation approaches have been used. However these two approaches have their own demerits in problem solving. In this paper, we propose a hybrid approach which is a specific problem solving procedure combining analytic and simulation methods to so...

The Croatian electricity demand exceeds domestic production and about 30% of additional power is covered from imports. The Croatian government is planning to add domestic production capacity, using natural gas and coal as the main fuel. Due to the attractive solar irradiation in Croatia, these new projects offer the possibility to build these thermal power plants as hybrid plants by adding sola...

This paper proposes a production planning system for a semiconductor enterprise with multi-site fabs. Profit achievement of the whole enterprise and quick response mechanism for the due date setting are the major considerations of the proposed system. Two modules are included in this system. Throughput planning module considers the achievement of enterprise’s profit, operating characteristics o...

EXECUTIVE SUMMARY This case details the implementation of the Systems Applications & Products (SAP) Production Planning module at EA Cakes Ltd. The market forced the company to change its sales and production strategy from “make-to-order” to “make-to-stock.” The decision to change the strategy involved not only the company’s decision to invest much more money in accumulation and keeping stocks ...

This contribution describes a general mixed-integer linear programming model based on a time-indexed formulation covering the relevant features required for the complete supply chain management of a multi-site production network. While the actual application is taken from the chemical industry, the model provides a starting point for many applications in the chemical process industry, food or c...

The vast body of literature on dynamic requirements planning problems in make-to-order production systems assumes that demands in all periods are predefined. In many practical contexts, however, a producer has discretion to accept or deny production orders during the production planning process. That is, given a set of orders for production at a single stage in a set of time periods, along with...

Providing a plan for any corporate or firm at macro level, as an organization or enterprise resource planning has particular importance nowadays. To meet the enterprise resource planning needs applications software packages provide a set of uniform pre-prepared and pre-designed that covers all business process throughout an organization. To achieve maximum efficiency in the implementation of th...

in this study, a new stochastic model is proposed to deal with a multi-product, multi-period, multi-stage, multi-site production and transportation supply chain planning problem under demand uncertainty. a two-stage stochastic linear programming approach is used to maximize the expected profit. decisions such as the production amount, the inventory level of finished and semi-finished product, t...