Planning Production Systems Research Articles

A Review of Game Theory Models to Support Production Planning, Scheduling, Cloud Manufacturing and Sustainable Production Systems

Cyber-physical systems, cloud computing, the Internet of Things, and big data play significant roles in shaping digital and automated landscape manufacturing. However, to fully realize the potential of these technologies and achieve tangible benefits, such as reduced manufacturing lead times, improved product quality, and enhanced organizational performance, new decision support models need development. Game theory offers a promising approach to address multi-objective problems and streamline decision-making processes, thereby reducing computational time. This paper aims to provide a comprehensive and up-to-date systematic review of the literature on the application of game theory models in various areas of digital manufacturing, including production and capacity planning, scheduling, sustainable production systems, and cloud manufacturing. This review identifies key research themes that have been explored and examines the main research gaps that exist within these domains. Furthermore, this paper outlines potential future research directions to inspire both researchers and practitioners to further explore and develop game theory models that can effectively support the digital transformation of manufacturing systems.

Data for paper "Influence of periodic forecast updates on a rolling horizon MRP planned production system"

Data for paper "Influence of periodic forecast updates on a rolling horizon MRP planned production system"

Applying Simheuristics to Minimize Overall Costs of an MRP Planned Production System.

Looking at current enterprise resource planning systems shows that material requirements planning (MRP) is one of the main production planning approaches implemented there. The MRP planning parameters lot size, safety stock, and planned lead time, have to be identified for each MRP planned material. With increasing production system complexity, more planning parameters have to be defined. Simulation-based optimization is known as a valuable tool for optimizing these MRP planning parameters for the underlying production system. In this article, a fast and easy-to-apply simheuristic was developed with the objective to minimize overall costs. The simheuristic sets the planning parameters lot size, safety stock, and planned lead time for the simulated stochastic production systems. The developed simheuristic applies aspects of simulation annealing (SA) for an efficient metaheuristic-based solution parameter sampling. Additionally, an intelligent simulation budget management (SBM) concept is introduced, which skips replications of not promising iterations. A comprehensive simulation study for a multi-item and multi-staged production system structure is conducted to evaluate its performance. Different simheuristic combinations and parameters are tested, with the result that the combination of SA and SBM led to the lowest overall costs. The contributions of this article are an easy implementable simheuristic for MRP parameter optimization and a promising concept to intelligently manage simulation budget.

Logistic decisions in value stream design: a case study

Value stream design (VSD) is the leading method in lean manufacturing for planning production systems. Preliminary research showed that promising logistical alternatives are not adequately addressed in VSD. Therefore, a framework for planning these alternatives was developed. Possible VSD alternatives occur for shipping principles, process linkages, pacemaker positioning as well as different transport and process designs. Promising design alternatives are simulated and evaluated to find the best VSD. The paper presents findings based on applications of the approach in industry. It is shown when and how logistic decisions can affect key performance indicators such as costs, throughput times, degree of flow and flexibility parameters in practical application.

A framework for planning logistical alternatives in value stream design

Value stream design (VSD) is the leading method in lean manufacturing and widely used for planning production systems. This paper addresses existing weaknesses in VSD, such as decision uncertainty or choosing suboptimal designs. A framework for the systematic development of future states that identifies possible planning alternatives and logistical interdependencies within VSD is presented. The approach uses a morphology for VSD and identifies when alternatives have to be taken into account based on specific value stream requirements. The main findings are discussed by means of a descriptive example. The research is the basis for further systematic VSD and assessment of FSM alternatives.

Planning Production Systems Resilience by Linking Supply Chain Operational Factors

Planning Production Systems Resilience by Linking Supply Chain Operational Factors

A Game-Based Approach to Raise Quality Awareness in Ramp-Up Processes

Today's production systems are complex sociotechnical systems. Both technical challenges, as well as the integration of human employees with their diverse abilities, wants, and needs, must be considered. Due to a growing number of product variants, shorter lead times, and global supply chains, planning production systems is becoming increasingly difficult, both on the technical and human levels. The highly volatile and uncertain character of production systems is intensified by the growing complexity and need for results in shorter decision times for ramp-up management. To handle the increasing complexity, human decision makers must be adequately trained for the ramp-up period. Therefore, the influential factors and their magnitude from both the technical and the human perspective must be identified and understood. This knowledge can help to manage the complexity of ramp-up processes, reduce the disturbances within the processes, and strengthen their overall resilience against failures.To adequately understand the human and technical factors that relate to ramp-up processes, it's necessary to have an experimental framework. This framework should support the identification and quantification of sociotechnical factors, enabling practitioners and researchers to model suitable interventions. In this article, the authors propose, develop, and evaluate a business simulation game that serves as such an empirical framework. The game is furthermore suitable to train managers before the ramp-up process. The achieved performance in the business simulation game may be used to evaluate a person's suitability for the task and to identify individual training potential.

Improving Lean Design of Production Systems by Visualization Support

The design process of production systems is complex with many different aspects to consider for efficiently developing and installing an effective system. Important success factors during the design process are typically the abilities to identify and manage risks, develop mitigation plans, and conduct timely proactive problem solving. The work reported in this paper is part of research addressing methods for how the design process can be supported by using virtual representations of the factory environments captured with 3D laser scanning. This support is evaluated in an industrial study of one industrialization project in the manufacturing industry. The industrialization project follows the process to design layout, work places, and plan for installation of new equipment to create a production system within a refurbished shop floor area. The area will include CNC machining centers, welding stations, product inspection, product cleaning, and material handling. 3D laser scanning is used to provide an accurate and realistic virtual representation of the current shop floor area. This virtual representation is combined with 3D CAD models of the new machining centers and other equipment to provide a realistic visualization of the planned production system. The research approach and its questions investigate the benefits of combining the lean principles to design and development of production systems using a realistic visualization, which include systematic risk analysis and problem solving as important activities. The result shows that visualization support gave a great advantage to identify the possible risks and problems, which resulted in higher confidence and substantial timesaving in planning and execution of the industrialization project.

Characteristics, intentions and expectations of new entrant dairy farmers entering the Irish dairy industry through the New Entrant Scheme

As part of the gradual expansion and abolition of EU milk quotas, the Irish government has approved the allocation of milk quota to a small number of new entrants to dairy production. The objective of this study was to describe the characteristics of new entrant dairy farm businesses developing within the Irish dairy industry in terms of geographical distribution, planned production system characteristics and intended operational scale and expected profitability based on an analysis of successful applications and business plans to the Irish New Entrant Dairy Scheme over a 3 year period. A total of 230 applications and business plans of entrants who received up to 200,000 litres of milk quotas through the New Entrant Scheme from 2009-2011, were analysed for the effects of region, age, household income, previous dairy experience, and education on overall business plan expectations. The results show that a youthful, highly educated and highly resourced group of new farmers are using the New Entrant Scheme to enter the Irish dairy industry. Applicant age has a significant impact on available investment equity and expectations, as younger entrants have less owned resources, are increasingly reliant on additional borrowing and have significantly increased expectations for the productive capacity of their potential farm businesses when compared to older entrants. The majority of new entrants are not planning to solely rely on new dairy enterprises and are instead maintaining reduced alternative enterprises or off-farm work. The results provide a further indication that quota abolition is likely to result in an increased regional polarisation of milk production within Ireland with increased intensity of production within traditional milk production areas in the south.

Comparative study of the applicability of fuzzy multi-objective linear programming models through cost-effective analysis for mold manufacturing

The mold-manufacturing process consists of prototype design, production, assembly, and testing. As products tend to vary, have short due dates, and life cycles, are highly precise and must be responsiveness to customers, production system planning is complex and the relationship between outsourcing capability and in-house capacity is crucial to mold-manufacturing. Differentiation of core operations vs. non-core operations in internal vs. external environments and time control are essential for mold manufacturing when planning production systems. To analyze the cost-effectiveness of capacity planning and its relationship to suppliers, this work applies a novel fuzzy multi-objective linear programming model. Considered factors are order quantity allocation, due dates, manufacturing quantity, capacity, defect rates, back-log, and the purchasing discount. The applicability of three fuzzy theories is assessed using total costs, punishment costs, and crashing costs. Implementation results demonstrate the potentials for cost-effective capacity planning and outsourcing, and identify the applicability of these fuzzy theories to a specific mold-manufacturing case.

ENVIRONMENTAL SCENARIOS FOR MANDATORY BIO-FUEL BLENDING TARGETS: AN APPLICATION OF INTUITIVE LOGICS <br><strong>DOI:10.7444/fsrj.v2i1.23</strong>

Os cenários para as metas de adição obrigatória de biocombustíveis são uma parte importante do planejamento estratégico das cadeias produtivas de alimentos e bioenergia, sendo o seu desenho o objetivo desse artigo. Cada cenário conta uma história de como os vários elementos poderiam interagir sob certas condições. O método usado aqui tem como base as contribuições anteriores de Schoemaker (1995) e Schwartz (1991). Uma seqüência de seis passos é seguida: i) identificar o foco de análise; ii) revisar as metas atuais de adição obrigatória; iii) identificar os direcionadores com base em uma analise macro-ambiental; iv) validar os direcionadores com especialistas; v) priorizar tais forças motrizes em termos de importância perante incertezas, construindo-se uma matriz de correlação; vi) desenhar os cenários. Ao final, são propostos três cenários alternativos relacionados à adoção, por parte de países, até 2020, de metas de adição obrigatória de biocombustíveis, que poderão orientar os tomadores de decisão dos mesmos durante o planejamento de sistemas de produção.

ENVIRONMENTAL SCENARIOS FOR MANDATORY BIO-FUEL BLENDING TARGETS: AN APPLICATION OF INTUITIVE LOGICS

Scenarios depicting targets concerning mandatory bio-fuel blending are critical to the strategic planning of food and bio-energy production chains and their design is the purpose of this paper. Each scenario tells a story about how various elements might interact under given conditions. The method herein utilized is primarily based on Schoemaker´s (1995) and Schwartz´s (1991) earlier proposals. A six step framework is followed: i) identify the focal issue; ii) summarize current mandatory blending targets; iii) identify the driving forces as of a macro-environmental analysis; iv) validate driving forces with specialists; v) rank such key forces by importance before uncertainties, building a correlation matrix; vi) design the scenarios. Finally, three alternative scenarios, relative to the adoption on behalf of countries, by the year 2020, of mandatory bio-fuel blending targets, are proposed which might guide these countries’ decision makers when planning production systems.

Simulation of activity costs for the reengineering of production systems

This paper discusses a simulation aided approach of economy and productivity measures for organizational changes based on activity costs. The procedure is supported by the simulation package FEMOS in order to evaluate the planned production system dynamically. During the simulation run the activities will be executed exploiting the resource capacities of the system. The activity costs are calculated based on a resource cost model. This model consists of static cost factors for the resources which will be adapted during simulation in order to take into account the actual or planned production situation. With the help of an example it can be shown, that the calculation of activity costs is useful in reengineering processes.

The Command Support At-Sea Experiment

The Command Support At-Sea Experiment (CS@SE) provides experimental advanced graphics display systems consisting of large screen color displays and operator console color displays in the combat information center (CIC) of an Aegis cruiser and in the tactical flag command center (TFCC) of an aircraft carrier. CS@SE systems are designed to prototype potential command support capabilities in an at-sea environment to validate and refine requirements for planned production system upgrades. These systems use sophisticated color graphics techniques to provide real-time tactical displays that improve the availability of information to an operator by reducing clutter through the use of color, area fill, transparen overlays and intensity coding of track symbols. Interfaces wen developed with the Aegis Display System (ADS), Shipboarc Gridlock System with Auto-correlation (SGS/AC), Flag Dats Display System (FDDS) and Tomahawk Engagement Planning and Exercise Evaluation System (TEPEE) that provided the data for the presentation of a tactical display. Display elements included both real-time and over-the-horizon (OTH) surface track data, velocity leaders, tags, uncertainty ellipses, and history trails. The display also included filled land masses, country boundaries, commercial airways, cities, graphics overlays (i.e., operational areas), weapon system missile performance contours, and engagement plans. This paper describes the experiment, its installation and integration into the shipboard environments of an Aegis cruiser (USS Leyte Gulf) and an aircraft carrier (USS America, its usage by the ships companies and embarked staffs, and the experiment result! and findings. Key conclusions of the experiment are: 1 Advanced graphics color displays can significantly enhance the ability of the warfighter to assimilate a complex tactical display. 2 Both ships reported a requirement for a correlated OTH and real-time track display with the ability to clearly differentiate the two types of tracks on the display. 3 On-line data bases such as detailed maps, airways, political boundaries, and cities provide important information that enhances the tactical track picture and the decision making process. 4 Classical rapid prototyping permits the validation of proposed command support concepts in an operational environment and permits some engineering evaluation of possible future capabilities.

Production-economic aspects on set-up efficiency

In recent years, the reduction of set-up times has been given increasing attention as a fundamental prerequisite for efficient and flexible production. In this paper, some theoretical and practical production-economic aspects on set-up efficiency are presented. The relationship between set-up efficiency and lot sizing is investigated for different planning situations and production systems. Furthermore, practical aspects on these relationships are discussed based on set-up efficiency practice in six Japanese companies, as well as on case studies from two Swedish manufacturing firms.