Improving the Assesment of Advanced Planning Systems by Including Optimization Experts' Knowledge (original) (raw)
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A systemic approach to define and characterize Advanced Planning Systems (APS)
Computers & Industrial Engineering, 2015
Advanced Planning Systems (APS) have become an important tool for manufacturing and production companies that require a specific system to optimize production, logistic, material and human resources, etc. with the goal of improving the economy of the companies and offer a good customer service. An APS must be integrated to the Enterprise's System (such as an ERP), but this task usually lacks of a specific methodology to be performed and is generally made ad-hoc. With the ultimate objective to provide an approach to facilitate this integration, this work presents a characterization of the APS from a systemic point of view, using standardized Software Engineering concepts. The idea is to provide a definition and characterization of Advanced Planning Systems, by establishing the main goals of this type of system, and considering Functional Requirements, Quality Attributes and a reference model for the architecture. The selected choices are established on the base of several international standards from the Software Engineering area, such as the SEBoK (System Engineering Body of Knowledge) and the SQuaRE (Software product Quality Requirements and Evaluation) model, among others, and aim to serve as a base line for the general concept of APS.
Advanced Planning and Scheduling (APS) Systems: A Systematic Literature Review
Advances in Transdisciplinary Engineering
Planning and scheduling are important functions for industrial systems to operate effectively. Their principal aim is to detail how production resources will be used so that its demand is timely met. In literature, there are several works that propose mathematical models for production planning and scheduling for different production scenarios, accounting for different resources configurations and other limitations. However, it was only recently that advanced planning and scheduling systems (APS), making use of these models, started being more widely used and discussed. This work presents the results of a systematic literature review, developed by applying the ProKnow-C method, on APS systems. An overview of the main publications is provided, classifying them in new methods, models or approaches; heuristic approaches; Lagrangian relaxation techniques; and genetic algorithms. The future of APS systems is also discussed, particularly regarding difficulties such as human dependence, us...
Advanced Planning and Scheduling Systems: Modeling and Implementation Challenges
The paper summarizes the results of research on the modeling and implementation of advanced planning and scheduling (APS) systems done in recent twenty years. It discusses the concept of APS system – how it is thought of today – and highlights the modeling and implementation challenges with which the developers of such systems should cope. Some from these challenges were identified as a result of the study of scientific literature, others – through an in-depth analysis of the experience gained during the development of real-world APS system – a Production Efficiency Navigator (PEN system). The paper contributes to APS systems theory by proposing the concept of an ensemble of collaborating algorithms.
Towards a Reference Architecture for Advanced Planning Systems
2016
Advanced Planning Systems (APS) are important for production companies that seek the optimization of its operations. However there are gaps between the companies' needs and its implementation in the Enterprise Systems, such as the lack of a commonly accepted definition, the short insight on its software architecture, and the absence of Software Engineering (SE) approaches to this type of system. Consequently, it is important to study APSs from a SE point of view. The motivation of this work is to present a Reference Architecture for APS, providing a standard-based characterization and a framework to simplify the design, development and implementation of APS. Therefore, two views are presented, which are based on the "4+1" View Model endorsed by the international standard ISO/IEC 42010:2011; those Views are represented using UML diagrams and they are described including variation points for a number of possible situations.
International Journal of Management and Decision Making, 2013
The study presented in the article concerns the introduction of an advanced planning system (APS) in a medium-sized manufacturing company, a decision which has significant effects on production planning and control activities and on order management. In order to assure the technical validity of the new system and the feasibility of the required changes to routine operations, a specific process of analysis and evaluation was established that involved representatives of the affected departments. The case study is investigated with particular reference to the evaluation stage of the possible APS solutions. The pivotal role of such participatory process and its effectual contribution to the final decision are highlighted and discussed.
How Advanced are Advanced Planning Systems?
ABSTRACT In this paper we study the usage of advanced planning technologies in Advanced Planning Systems (APS). In particular, we consider the utilization of approaches from the areas of modeling, simulation, and optimization. The study is based on a questionnaire-based survey asking commercial APS providers on utilizing such methods in general and with respect to specific modules of their APS.
i ii Advanced planning and scheduling systems in manufacturing planning and control processes Abstract An advanced planning and scheduling (APS) systems is defined as any computer program that uses advanced mathematical algorithms or logic to perform optimization, and/or simulation on finite capacity scheduling, sourcing, capital planning, resource planning, forecasting, demand planning and others. The expectations of APS systems have been high, both from academia and industry in the subject area of manufacturing planning and control. Relative the massive interest there has not been much written about how APS systems are used in practice and what effects an APS approach really results in. This thesis focuses on the use of APS systems in manufacturing planning and control (MPC) processes, and the research questions is to explore how APS can support these processes, which benefits that can be achieved and which prerequisites to consider when using APS systems. Three case studies have been conducted including seven case companies that use APS in different MPC processes. The results are presented in four appended papers. Empirical data from the case studies have mainly been conducted thorough interviews with actors involved in MPC processes.
The potential benefits of advanced planning and scheduling systems in sales and operations planning
2010
Purpose -The purpose of this paper is to explore what potential benefits may be achieved by using advanced planning and scheduling (APS) systems in the sales and operations planning (S&OP) process. Design/methodology/approach -The paper investigates benefits at the S&OP process level by interviewing APS experts and APS users. Several methods have been used; literature review, Delphi study, and a case study at a company in the chemical industry which uses APS system support in the S&OP process. Findings -Three types of potential benefits were found to be achieved when using APS systems in the S&OP process; benefits concerning decision support, planning efficiency and learning effects. The most common type was decision support benefits according to APS users and APS experts. The results from the case company showed that the benefits perceived in the different S&OP activities differed. In the activities concerning the preparation and generation of delivery plans, the perceived benefits mainly concerned learning effects. In the activities concerning the generation of a production plan, the benefits were foremost found in planning efficiency. In the S&OP meeting decision support benefits were highest valued. The reason for the different results can be explained by the aim of the activity, how APS was used in the activity, the user characteristics and the design of the model and access and quality of planning data.
Applying advanced planning systems for supply chain planning: three case studies
2007
Purpose -The purpose of this paper is to explore how standardized advanced planning systems (APS) can be used for solving planning problems at tactical and strategic levels, and to identify the perceived effects of using APS. Design/methodology/approach -Multiple case studies involving three cases using APS software for strategic network planning and master production scheduling are conducted. Comparative analysis explores how the planning situation, the model design and use of the APS impact the perceived planning effects. Findings -Findings show how APS support cost-optimized strategic network design in one case and how efficiency, capacity utilization and delivery service problems were decreased in two cases using APS in global master planning processes. The cases show how APS supports cross-functional integration and supply chain commitment to a common plan. Research directions are suggested about the feasibility of APS in situations with various planning complexities, how design of the optimization model creates complexity and affects the planning process, data gathering requirements when using APS, the role and design of the planning organization, and how to achieve positive planning effects, such as finding global optimum and single plan commitment.