Industrial insights into lot sizing and schedulingmodeling

© 2015 Brazilian Operations Research Society. Lot sizing and scheduling by mixed integer programming has been a hot research topic inthe last 20 years. Researchers have been trying to develop stronger formulations, as well as to incorporatereal-world requirements from different applications. This paper illustrates some of these requirements anddemonstrates how small- and big-bucket models have been adapted and extended. Motivation comes fromdifferent industries, especially from process and fast-moving consumer goods industries

Manufacturing Value Modelling, Flexibility, and Sustainability: from theoretical definition to empirical validation

The aim of this PhD thesis is to investigate the relevance of flexibility and sustainability within the smart manufacturing environment and understand if they could be adopted as emerging competitive dimensions and help firms to take decisions and delivering value

Shop Floor Lot-sizing and Scheduling with a Two-stage Stochastic Programming Model Considering Uncertain Demand and Workforce Efficiency

Efficient and flexible production planning is necessary for the manufacturing industry to stay competitive in today’s global market. Shop floor lot-sizing and scheduling is one of the most challenging and rewarding subjects for the management. In this study, a two-stage stochastic programming model is proposed to solve a single-machine, multi-product shop floor lot-sizing and scheduling problem. Two sources of uncertainties are considered simultaneously: product demand from the market, and workforce efficiency, which is the major contribution of this study. The workforce efficiency affects the system productivity, and we propose different distributions to model its uncertainty with insufficient information.The model aims to determine optimal lot sizes and the production sequence that minimizes expected total system costs over the planning horizon, including setup, inventory, and production costs. A case study is performed on a supply chain producing brake equipment in the automotive industry. The numerical results illustrate the usefulness of the stochastic model under volatile environment, and the solution quality is analyzed

Value Chain Analysis on the Logistics Management as the Basis for Strategy Formulation to Increase Customer Satisfaction (Case Study in PT.Coca-Cola Amatil Indonesia - Plant East Java)

PT. Coca-Cola Amatil Indonesia (PT. CCAI) - Plant East Java as a carbonated soft drinks manufacturer isexperiencing a mismatch between planning and realization of product shipments shown by fullfilment anddelivery mismatch among the company target at difotai (delivery infull ontime accurately invoice). This thingwas d ue to an incompatibility among logistics management activities, so it is necessary to do value chainanalysis to find out which activity is the cause of nonconformities in order to do strategy formulationimprovement to enhance customer satisfaction. The purpose of this study was to determine the advantagesand disadvantages of logistics management in PT.CCAI - Plant East Java and make it as one of the basis forstrategy formulation to improve customer satisfaction with value chain analysis approach. This researchused descriptive analytical method. The data was obtained by distributing questionnaires to the Warehouseand Transportation in PT. CCAI - Plant East Java and analysed using fuzzy AHP method. The resultsshowed that the overall weight of the main activities in a row from the top was the activity of supplymanagement, information flow and order processing, demand planning and operations, and transportation.Some things on the transportation activities that needed to be improved as the basis for the strategyformulation, among others, operational procedure, the carrying capacity of the facility, as well as thesocialization and communication of problems and changes handling