Manufacturing Resource Planning Research Articles

Distributed Cryptosystem for Service-oriented Smart Manufacturing

:Advanced sensing and cloud systems propel the rapid advancements of service-oriented smart manufacturing. As a result, there is widespread generation and proliferation of data in the interest of manufacturing analytics. The sheer amount and velocity of data have also attracted a myriad of malicious parties, unfortunately resulting in an elevated prevalence of cyber-attacks whose impacts are only gaining in severity. Therefore, this paper presents a new distributed cryptosystem for analytical computing on encrypted data in the manufacturing environment, with a case study on manufacturing resource planning (MRP). This framework harmonizes Paillier cryptography with the alternating direction method of multipliers (ADMM) for decentralized computation on encrypted data. Security analysis shows that the proposed Paillier-ADMM system is resistant to attacks from external threats, as well as privacy breaches from trusted-but-curious third parties. Experimental results show that smart allocation is more cost-effective than the benchmarked deterministic and stochastic policies. The proposed distributed cryptosystem shows strong potential to leverage the distributed data for manufacturing intelligence, while reducing the risk of data breaches.

ЗАСТОСУВАННЯ МЕТОДУ ЛІНІЙНОГО ПРОГРАМУВАННЯ В ПРОЦЕДУРАХ ПЛАНУВАННЯ MRP II

The assimilation of modern approaches to enterprise management in Ukraine is rather slow, contrary to the rapid development of programming tools and informatics in general. Transparency, predictability, implementation of generally recognized management processes contribute to the efficiency of enterprises. The widely known methodology of Manufacturing Resource Planning II (MRP II) can ensure the operation of the enterprise without shortages of materials and equipment. The MRP II standard describes the processes of the management system, which cover all phases of management: planning, organization of activities, accounting and rationing. For these processes, a set of procedures and methods that must be implemented is presented. Taking in account the high demands of MRP II on enterprise organization and computing resources, an attempt was made to improve this process by applying optimization method, such as linear programming, to the central link of the process, which is the formation of the Master Production Shedule. Planners still perform these processes, but in most cases not formalized, so it would be useful to offer them some formalized options for building a Master Production Schedule within the framework of the MRP II methodology. In the MRP II methodology, which is the de facto industry standard, during formation of the Master Production Schedule, in addition to the requirement for the MPS to meet the sales plan, the limitations that should affect the formation of the MPS are, first of all, limitations on the capacities of equipment (work centers) and limitations on the availability of materials, taking into account the duration of the procurement cycles of this or that material. The standard algorithm involves checking the constraints only after the MPS is formed, and if the latter violates some constraints, organizational measures must be taken to correct the situation (such as accelerated delivery of materials or the rental of additional equipment, which incurs additional costs), or the MPS must be redesigned. Instead, the authors suggest taking into account critical limitations already in the process of MPS formation. This is possible thanks to the formulation of constraints within the linear programming problem. In this case, if, for example, equipment capacity limitations are active, the linear programming algorithm from the very beginning distributes the production of product types to earlier planning intervals, smoothing the peak load on the work centers. Several strategies for scheduling manufacturing inventory replenishment are considered, such as replenishment to offset each sale; periodic replenishment; maximum top-ups as much as the limits allow. Proposed template in the form of spreadsheet for a better understanding of MPS construction options.

Assessing the In-house Logistics flows in the automotive industry

The Internal Logistics Routing Management (ILRM) system in a car-assembling company consists of a set of logistics activities that a company does to guarantee that the workstations in an assembly line do not run out of materials. In this work, we present and study one of these activities, the design of the supplying routes in SEAT S.A., a subsidiary company of the Volkswagen Group. The ILRM is an operational and strategical system because it impacts the company’s performance and involves the employment of both complex operational processes and systems. We evaluate the company’s current ILRM system using fixed routes and propose new scenarios to be implemented, in which variable-routing concepts are considered. Concerning the demand aspects, we evaluate three scenarios: the current demand, an automatic ordering system, and a forecasting demand obtained through a representation of a Manufacturing Resource Planning (MRP) system. To evaluate and optimize these scenarios, we propose an Integer Linear Programming (ILP) model and an Iterated Local Search (ILS) algorithm to calculate variable routes to ILRM systems. Furthermore, we present a simulation procedure to evaluate and compare all these scenarios in a realistic environment using real data from the company. From the optimization point of view, the ILS was able to reduce the total distance covered throughout the considered time horizon and generate no backorders. Finally, we describe the advantages and challenges of each scenario. This proposed methodology may be applied and extended to any manufacturing company.

History, Features, Challenges, and Critical Success Factors of Enterprise Resource Planning (ERP) in The Era of Industry 4.0

ERP has been adopting newer features over the last several decades and shaping global businesses with the advent of newer technologies. This research article uses a state-of-the-art review method with the purpose to review and synthesize the latest information on the possible integration of potential Industry 4.0 technologies into the future development of ERP. Different software that contributed to the development of the existing ERP is found to be Material Requirement Planning (MRP), Manufacturing Resource Planning (MRPII), and Computer Integrated Manufacturing (CIM). Potential disruptive Industry 4.0 technologies that are featured to be integrated into future ERP are artificial intelligence, business intelligence, the internet of things, big data, blockchain technology, and omnichannel strategy. Notable Critical Success Factors of ERP have been reported to be top management support, project team, IT infrastructure, communication, skilled staff, training & education, and monitoring & evaluation. Moreover, cybersecurity has been found to be the most challenging issue to overcome in future versions of ERP. This review article could help future ERP researchers and respective stakeholders contribute to integrating newer features in future versions of ERP.

History, Features, Challenges and Critical Success Factors of ERP in the ERA of Industry 4.0

This paper uses a state-of-the-art review system with a purpose to review and synthesize the latest information on the possible integration of potential disruptive technologies into the future development of ERP. Different software, such as Material Requirement Planning (MRP), Manufacturing Resource Planning (MRPII), and Computer Integrated Manufacturing (CIM) have been found to be the base of existing versions of ERP. Potential disruptive Industry 4.0 technologies that can be integrated into ERP are found to be artificial intelligence, business intelligence, internet of things, big data, blockchain technology, and omnichannel strategy. Notable Critical Success Factors of ERP are top management support, project team, IT infrastructure, communication, skilled staff, training & education, and monitoring & evaluation. Moreover, cybersecurity has been found to be the most challenging issue to overcome in future versions of ERP. This paper could help the future ERP researchers and respective stakeholders contribute to integrate newer features in the future versions of ERP.

Comparison for the Characteristics of the OA, MRP, and ERP Systems

Information systems play varied roles in businesses and in the growth of businesses as a result of advancements in computer technology. On the comparison of MRP and ERP and the development process, certain scholars have offered their perspectives. There are, however, few researches that compare the traits of OA, MRP, and ERP in detail. In this paper, the features of office automation systems, material demand planning systems, and manufacturing resource planning systems are contrasted and discussed along with their historical development, present state, and various system goals. This study provides a summary of the OA, MRP, and ERP systems. The three MRP development stages are outlined, along with the distinctions between the relevant environment, production process, capacity needs, fundamental parts of e-commerce activities, management modules, and other characteristics. Enterprise managers can effectively improve the office and production efficiency of enterprises by analyzing, designing, implementing, and combining management knowledge of different systems. These results shed light on guiding further exploration of understanding the comparison of three system characteristics.

A Development and Implementation of Manufacturing Resource Planning System for Small and Medium Enterprises

Material Requirements Planning (MRP) refers to a system of management practices where production planning is integrated with inventory control. According to this paper, we have been able to make significant progress toward a revised Manufacturing Resource Planning (MRP II) system. During the application of the MRP II database, it was also considered how much dataset might be obtained using reports. MRP II database creation in MS Access software is covered in steps 1 and step 2 of this research article. This paper refers to the MS Access software to create a database that incorporates the theoretical knowledge and suggested a custom MRP II solution. In this paper, a three-step technique as a research methodology to formulate and apply a customized MRP II model was used. For the creation of a custom MRP II system database, this paper employed the MS access application over other commercially known software. With MRP's core idea, we should be able to schedule just what materials are required and when. The relevant literature has also put significant emphasis on technical issues, e.g., the ineffectiveness of MRP frameworks for optimization of the internal workflow.

Introducing the EPP house (topological space) method to solve MRP problems.

The problem of product and process planning analysed so far is how we can take advantage of our strategy in planning. Among the principles of manufacturing and service management concepts is that after planning demand, planning transformation is one of the key steps of integrated efficiency; it makes it possible to save costs that are not value adding and are not necessary from the customer's point of view. Currently, the methods of material requirements and capacity planning can be seen as classic solutions that are based on dependency relations between different resources, which can be dynamic in space and time. Measuring and recording capacities raise several problems in addition to the fact that our planning methods are not always satisfying. In the literature, the methods of material requirements planning or manufacturing resource planning (MRP) are not typically optimization methods, so they do not guarantee the best solution, and even if our planning methods were satisfying, several manufacturing restrictions (the time allowed, the complexity of the planning process, the lack of testing opportunities, etc.) could prevent us from reaching satisfying application. It is necessary to create a simple planning algorithm that can give the planner a greater degree of freedom and that would be simple and algorithmic in order to maintain continuous conscious control, putting an end to planning uncertainty and leading us to the best solution under the given conditions. The aim of our research is to introduce a novel, simple planning algorithm, similar to heuristic methods that eliminates the problem of defining the order quantity when applying traditional methods, which prevents us from determining in advance which method is desirable (causing unnecessary planning steps); computer-based solutions hide the causal relations of the methodology from the planner (causing unreliability uncertainty).

Technology Transformation through Enterprise Resource Planning (ERP) towards Small and Medium Enterprises (SME), Tamilnadu.

To improve productivity and overall business performance, Enterprise Resource Planning (ERP) is one among the solutions for the Small and Medium Enterprises (Software companies) in order to face the global challenges. Though ERP systems, which evolved from Manufacturing Resource Planning (MRP II) systems, have many advantages, there are some failure stories also. The Indian firms and particularly Small and Medium Enterprises. The objective of this research is to determine to implement and design the functionality based on business process, to create a configuration and programming and to provide the valuable suggestion for improvement. For better controlling and management of data latest Technologies have been supplied within ERP software package. The descriptive research adopted in the study has been Simple Random Sampling method which is used with the sample of 86 respondents in which both primary and secondary data is used all over the Tamilnadu. The foremost purpose of descriptive analysis is description of the state of affairs because it exists at the present. The statistical tools have been used such as Chi-Square, Correlation, and Anova. Questioner method is used as a research instrument for collecting the data. The main characteristic of this methodology is that the investigator has no management over the variables; he will solely report what is going on or what’s happening. This research concludes by saying it enhance the efficiency and effectiveness of organisational is improved and implemented by ERP system and they need to adopt a proactive business solution rather than a mere IT solution.

A retrospective overview of Journal of Enterprise Information Management using bibliometric analysis

PurposeJournal of Enterprise Information Management (JEIM) is a leading journal that publishes studies on applied information management relevant to industry personals, academicians and researchers. This study uses bibliometric tools to present a retrospective analysis of the journal's outcomes.Design/methodology/approachThe authors applied bibliometric tools for analysing the impact, topic coverage, renowned authors with affiliation, citation, methodology and analysis of the JEIM corpus. Additionally, they used bibliographic coupling to develop a graphical visualisation and analyse the journal's thematic evolution.FindingsWith 16 yearly articles, JEIM contributed 656 research articles on various themes. The major themes that have come to define the JEIM over this time include information and systems, supply chain management, manufacturing resource planning, communication technologies and small- to medium-sized enterprises. Empirical methodology, quantitative techniques with descriptive analysis and regression methods are the most preferred. The article's primary research purpose shows the majority of theory-verifying articles. Co-authorship analysis reveals that the single-author trend is decreasing and the journal now has articles with international collaborations.Originality/valueThis study is the retrospective analysis of the JEIM, which is useful for aspiring contributors and the journal's editors.

Business Role Security in Enterprise Resource Planning System

Enterprise Resource Planning, a collective integrated approach for all business solutions, has been broadly accepted across various industries since 1990 as the upcoming generation of Manufacturing Business System and Manufacturing Resource Planning software. ERP can be taken as to be “the cost of entry for running and growing a business” (Kumar and van Hillegersberg, 2000). An ERP is an information system, which seamlessly integrated and configured for planning, execution and managing all the resources and their maximum use in the enterprise, and streamlines and incorporates the business threads within and across the functional or technical boundaries in the enterprises. With the use of such information system, an organization can automate its elementary business requirements by reducing the complexity and cost of the related integrations for its components. Enterprise may also apply business process reengineering for optimum utilization of its ERP system, and finally output as growth in business can be recorded. Thus, ERP Security plays major role in protecting an organization business data and their employee’s and customer information as well. Study of Access Control Model of ERP Security is very important to keep the enterprise IT environment safe and secure. This paper focuses on the Risk of Fraudulent behavior of user roles across in terms of usage of ERP system. The case study used the information and data based on questionnaire and various inputs from industry experts.

Information System Development Based-on ERP and RAD Methods: Application For Activities Information Broadcasting

As technology develops, information systems become very important in institutions. Information systems support the delivery of information quickly and accurately. The system is a reference at the Persada Islamic Boarding School Ahmad Dahlan University to develop an information delivery system using applications integrated. Manual systems cause the information to be less relevant, requiring an integrated and comprehensive system that can effectively and efficiently deliver information to students. The application developed using Enterprise Resource Planning (ERP) and Rapid Application Development (RAD) methods. The application of these methods requires two main steps, including determining ERP and RAD for implementation. The process for obtaining an ERP method requires steps such as Material Requirement Planning, Close-Loop, and Manufacturing Resource Planning, and Enterprise Resource Planning. The RAD method requires steps such as Requirement Planning, RAD Design Workshop, and Implementation. Application testing used black-box and alpha testing. Each of these tests obtained an accuracy of 95% and 97.7%. Thus, this application can be implemented in Persada very well on mobile and desktop platforms. Besides, the app used information broadcasting to users in real-time for any information in Persada.

Optimization of production cost for integrating job shop scheduling with production resources

New manufacturing technologies are emerging every day, pushing the bounds of possible and redefining the world around us. This is especially true in the world of computing where much work goes into the design and development of new planning systems, tools, and software packages. This led to the development of various process analysis and manufacturing software packages. Many of these packages use the heuristic methods for solving the problems. Optimization is a design technique in which the best design solution for a problem is seeded using multiple execution and comparison of analysis results. Optimization is carried out for one or more responses acted upon by various constraints. Job shop is an environment for the manufacture of large variety low volume products. In general, the integration of production functional areas with job shop scheduling problems is to be considered as too hard and complex problems. The Production functional areas are Material Requirement Planning, Production Resource Planning, Manufacturing Resource Planning, Employee Time tabling, Human Resource Planning and Lot Size etc. To minimize the loss due to resource allocation, integration of production function resources and job shop scheduling is encouraged. Production resources are resourcing the material, human labours and manufacturing machine tools. Manufacturing assumptions are deployed to found difficult integrated manufacturing systems. In this paper, a hierarchy mathematical modelling approach has been developed to integrate the production resources planning and job shop scheduling. In which, material requirement planning system for material resource arrangement, employee timetabling module for human resource allocation and manufacturing resource planning for machine allocations are to be considered. For solving the unique hierarchy model, a shuffled frog leaping heuristic algorithm (SFLA) is proposed and implemented for minimizing the overall production cost. To prove the optimized results, the integrated system has been tested with real time case studies.

A Business Intelligence and Analytics for Service Oriented Manufacturing Resource Planning

A Business Intelligence and Analytics for Service Oriented Manufacturing Resource Planning

Current issues of information technologies application in electric power industry

The article considers the problems of IT development in the power industry. During the studies the analysis of the competitive advantages of information technologies was carried out and the following functional features of information systems were revealed: Material Requirements Planning (MRP), Manufacturing resource planning (MRP II), Enterprise Resource Planning (ERP), Enterprise Resource & Relationship Processing (ERP II), Customer Relationship Management (CRM), Supply Chain Management (SCM). The authors also justify the incentives for the development of intelligent technologies in the electric power industry. The main purpose of the study was to substantiate that management capabilities based on IT create the conditions for innovative development of the industry. The digitalization of the energy sector, intelligent metering and distribution systems for the electric power present new requirements for the training of IT specialists. Analysis of the main current IT trends in the power sector helps to justify the need for the use of the Internet services during laboratory work in the educational process.

Mathematical models and an elephant herding optimization for multiprocessor-task flexible flow shop scheduling problems in the manufacturing resource planning (MRPII) system

Shop floor control (SFC) is one of the main concepts in manufacturing resource planning (MRPII) and production scheduling is a key element in SFC. This paper studies the hybrid flow shop scheduling problem where jobs are multiprocessor. The objective is to minimize total completion time. Although there are several papers considering hybrid flow-shop scheduling problem with multiprocessor tasks, but none propose a mathematical model for this problem. At first, the two problems (fixed and selective cases) are mathematically formulated by mixed integer linear programming models. Using commercial software, the model is used to solve the small instances of the problems. Moreover, an elephant herding optimization is developed to solve large instances of the problems. To numerically evaluate the proposed algorithm, it is compared with two available algorithms in the literature, simulated annealing and shuffled frog-leaping algorithm in the literature.

Design Process to Reduce Production Cycle Time in Product Development

<span lang="EN-US">In today’s business climate, the old adage “time is money” has been expanded to mean that time is competitive weapon. Today customer’s demands are quick delivery and good quality at reasonable price. When entering the global market the companies encounter several difficulties, the most important one being excessive time for new product development. Thus to perform in a global market, short lead times are essential to provide customer satisfaction. Lead time in manufacturer point of view is the time elapse between placing of an order and the receipt of goods ordered. There are various components of lead time such as setup time, process time, move time and waiting time. This paper deals with review of various tools and techniques to reduce lead time. This problem can be solved by transition from sequential engineering to concurrent engineering, A survey of published works in the field of designing teams in big companies has revealed that in big companies a three-level team structure is recommended, as well as a workgroup, consisting of four basic teams. Method study techniques use to examine current way of work and develop effective method base on elimination, combining, changing and simplification of activities. Various lean tools such as Single Minute Exchange of Dies (SMED), 5S, Poka-yoke, Kanban, Just-in-time (JIT), Value Stream Mapping (VSM), Jidoka, Cellular manufacturing etc. helps in reducing lead time. Also Manufacturing Resource Planning (MRPII), Theory of Constraints (TOC) classic approaches of Production Planning and Control (PPC) are use to reduce Work in Process (WIP) and flow time.</span>

DEVELOPING AND IMPLEMENTING TAILOR MADE MANUFACTURING RESOURCE PLANNING PLATFORM: A CASE STUDY OF MRP IN SMALL AND MEDIUM TEXTILE ENTERPRISES

ABSTRACT The problem with specificity of each entity on global industry milieu, caused the need for bespoke systems. Bespoke manufacturing systems are of great use when they are implemented in the environment typical for developing countries. When certain manufacturing systems are designed for the use in SMEs, which are based in developing countries number specificities need to be adapted. Paper covers process of developing highly customized Manufacturing Resource Planning (MRP II) platform. Tailor-made system was designed and developed in cooperation between the joint team of Exelit (textile company) and Ikresoft (software developing company). The system is consisted of different components, which were composed so that all processes in the production stages could be managed and controlled on more easier and simplified way. The platform is Cloud based, so every manager can access it remotely only by using web browser. Effects of MRP II implementation and the reinforcing of organizational change, resulted with 20% of productivity increase. Keywords MRP II; textile enterprises; tailor made

Spreadsheet Application still dominates Enterprise Resource Planning and Advanced Planning Systems

Enterprise Resource Planning (ERP) has been a major advancement in production planning and control (PPC), building on material requirements planning (MRP) and manufacturing resource planning (MRP II). To improve planning solutions, advanced planning systems (APS) have been offered since the nineties. Despite these developments and recent developments in digitalization, spreadsheets still play a major role in PPC. This paper describes three cases in which different capacity planning and production scheduling decisions are supported by spreadsheets. This results in a list of issues arising from the use of spreadsheets in PPC. While the advancements in PPC research have been clear over the last twenty years, the cases do not make use of these advancements in practice and we do not foresee that all spreadsheets will be replaced by APS or other digitalization efforts over the years. Therefore, while we focus more research efforts on concepts like digitalization and Industry 4.0, we must not forget that spreadsheet applications still dominates over ERP and APS as the main support for planners in their daily work.

Lean OR ERP – A Decision Support System to Satisfy Business Objectives

Lean manufacturing and Enterprise Resource Planning (ERP) systems are two most important strategies utilized by manufacturers attempting to compete for sales and profits in the global market. Most of the organizations around the world use ERP or Lean, but rarely both. Literature reveals that modern operations management, by default, requires all industries to use an ERP system. Increasing competition compels industries to reduce their costs and improve operational efficiency, which may be possible by practicing lean manufacturing principles. Small and medium enterprises are not familiar where ERP system is required and where the lean approach is suitable when they have a specific business objective. Therefore, the article presents the relative contribution of ERP and Lean system to facilitate in the realization of business objectives in manufacturing. Contribution/importance levels are ranked as ‘importance weight’, which will guide the small and medium enterprises in strategically distributing their resources on either ERP, Lean or both. The presented concept is based on systematic mapping of publications contributed in the field of ERP system and lean manufacturing system.