How Advanced are Advanced Planning Systems? (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 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.
Improving the Assesment of Advanced Planning Systems by Including Optimization Experts' Knowledge
2017
Advanced Planning Systems (APS) are core for many production companies that require the optimization of its operations using applications and tools such as planning, scheduling, logistic, among others. Because of this, process optimization experts are required to develop those models and, therefore, are stakeholders for this system's domain. Since the core of the APSs are models to improve the company performance, the knowledge of this group of stakeholders can enhance the APS architecture evaluation. However, methods available for this task require participants with extensive Software Engineering (SE) understanding. This article proposes a modification to ATAM (Architecture Trade-off Analysis Method) to include process optimization experts during the evaluation. The purpose is to create an evaluation methodology centred on what these stakeholders value the most in an APS, to capitalize their expertise on the area and obtain valuable information and assessment regarding the APS, models and solvers interoperability.
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.
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...
ANALYSIS AND MANAGEMENT OF PLANS PROVIDED BY AUTOMATED PLANNING SYSTEMS
Abstract—The entire life cycle of a real planning problem design involves several procedures, each one with its importance and capacity of extracting knowledge from the given problem. One of these procedures is the analysis and management of plans, which is vital for debugging the problem model, as well as for the verification of the consistence of the generated plan by an automated planning system.
An overview of the Advanced Planning and Scheduling Systems
Independent Journal of Management & Production, 2014
Currently, the activities of the planning and control of companies are becoming increasingly complex and the managers of this area are constantly pressured to reduce operating costs, maintain inventories at adequate levels, to fully meet the demand of customers, and to respond effectively to changes that occur. The planning and scheduling task is important for most companies, so according to some authors, there is a need for further analysis of the practical use of production planning and control systems. Within the context of production planning and control systems development, in the 1990s were launched the APS systems, which represent an innovation when compared to their predecessors. This paper intended to provide through a literature review, the concepts, structure, capabilities, implementation process and benefits of using APS systems in the companies production planning and control. The main contribution of this research is to show a strong conceptual understanding regarding APS systems, which can be used as a solid theoretical reference for future researches.
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.
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.
Analyzing the performance of the planning system by use of AAPM TG 119 test cases
Radiological Physics and Technology, 2015
Our objective in this study was to create AAPM TG 119 test plans for intensity-modulated radiation therapy (IMRT) and volumetric-modulated arc therapy (VMAT) in the Monaco planning system. The results were compared with the published studies, and the performance of the Monaco planning system was analyzed. AAPM TG 119 proposed a set of test cases called multi-target, mock prostate, mock head and neck and C-shape to ascertain the overall accuracy of IMRT planning, measurement, and analysis. We used these test cases to investigate the performance of the Monaco planning system for the complex plans. For these test cases, we created IMRT plans with static multi-leaf collimator (MLC) and dynamic MLC by using 7-9 static beams as explained in TG-119. VMAT plans were also created with a 320°arc length and a single or double arc. The planning objectives and dose were set as described in TG 119. The dose prescriptions for multitarget, mock prostate, mock head and neck, and C-shape were taken as 50, 75.6, 50 and 50 Gy, respectively. All plans were compared with the results of TG 119 and the study done by Mynampati et al. Point dose and fluence measurements were done with a CC13 chamber and Arc-CHECK phantom, respectively. Gamma analysis was done for the calculated and measured dose. Using the Monaco planning system, we achieved the goals mentioned in AAPM TG-119, and the plans were comparable to those of other studies. A comparison of point dose and fluence showed good results. From these results, we conclude that the performance of the Monaco planning system is good for complex plans.