The basic assumption in the traditional inventory model is that all outputs are perfect items. However, this assumption is too simplistic in the most real-life situations due to a natural phenomenon in a production process. From this it is deduced that the system produces non-perfects items which can be classified into four groups of perfect, imperfect, reworkable defective and non-reworkable d...

Digital enterprise technologies combined with sophisticated optimization algorithms can significantly contribute to the efficiency of production. The paper introduces a novel approach for integrated production planning and control, with the description of the mathematical models and solution algorithms. The deterministic optimization algorithms are complemented by a discrete-event simulation sy...

This paper is on production planning and inventory control in systems where manufacturing and remanufacturing operations occur simultaneously. Typical for these hybrid systems is, that both the output of the manufacturing process and the output of the remanufacturing process can be used to fulfil customer demands. Here, we consider a relatively simple hybrid system, related to a single componen...

The agile production planning and control system (APPCS, for short) is a real time system that can respond to uncertainty immediately. In this paper, we provide a formulation of the APPCS by unified modeling language (UML). The APPCS model is described by a class diagram, in which classes and associations are plotted to show its semantics. In a case study, a simulation model is designed as an e...

A model of an Agent based Production Planning and Control (PPC) system able to be dynamically adaptable to local and distributed utilization of production resources and materials is presented. The PPC system is based on the selection of resources to deal with one order of different quantities of one product each time. In this way it is build one scheduling solution for that particular order. Th...

Decision support in production planning and control has to face special properties of production processes and systems. To find an optimal solution for decision problems in this domain is usually nphard and a proper definition of objective functions and constraints is extremely difficult. One reason for the problem of proper model definition for classical optimization methods is the individual ...

The paper examines the current state of Production Planning and Control (PPC), identifies some technical and systems changes that have occurred over recent years and links these with the requirements being placed on companies by the market. PPC is being asked to respond effectively to these internal and external changes by being more dynamic and providing better control of resources and deliver...

This paper addresses a non-linear optimization model by integrating production planning and inventory control in the automotive industry at the strategic and operational level. In order to provide an effective modeling, we developed a framework to integrate manufacturing system and suppliers within an automotive supply chain network. The numerical experiments demonstrate the efficiency of the p...

Closed-loop supply chains are characterized by the recovery of returned products. In most of these chains (e.g. glass, metal, paper, computers, copiers), used products (also known as cores) are returned by or collected from customers. But returned products can also come from production facilities within the supply chain (production defectives, by-products. In cases with internal returns, recove...