Production Planning Process Research Articles

Problems of rational use of agricultural lands in Ukraine

The article examines the problem of rational land use in Ukraine. It was established that, in comparison with European countries, the level of soil plowing in Ukraine is very high and does not meet the norms of rational land use. The author determined that the violation of scientifically based norms for the use of land resources leads to a significant decrease in soil fertility, as well as to significant destructive ecological consequences. It is characterized that the development of large agricultural holdings, which are focused on the cultivation of highly profitable agricultural crops, does not contribute to the development of competition in the agricultural sector, violates the norms of crop rotation in agriculture. The main tools that will contribute to the formation of optimal dimensions and the effective use of resource potential in the conditions of globalization have been determined, namely: the introduction of a system of planning and budgeting of production processes; alternation of cultures; the use of GPS-mapping of land with an indication of crop history, land quality and cultivation technology. The author proposed the main directions of rational use of land use, which are based on the development and implementation of national and regional programs for land protection and reproduction of soil fertility, the introduction of scientifically based crop rotations, and the formation and improvement of the regulatory and legal framework.

Scheduling in cloud manufacturing systems: Recent systematic literature review.

Cloud Manufacturing (CMFg) is a novel production paradigm that benefits from Cloud Computing in order to develop manufacturing systems linked by the cloud. These systems, based on virtual platforms, allow direct linkage between customers and suppliers of manufacturing services, regardless of geographical distance. In this way, CMfg can expand both markets for producers, and suppliers for customers. However, these linkages imply a new challenge for production planning and decision-making process, especially in Scheduling. In this paper, a systematic literature review of articles addressing scheduling in Cloud Manufacturing environments is carried out. The review takes as its starting point a seminal study published in 2019, in which all problem features are described in detail. We pay special attention to the optimization methods and problem-solving strategies that have been suggested in CMfg scheduling. From the review carried out, we can assert that CMfg is a topic of growing interest within the scientific community. We also conclude that the methods based on bio-inspired metaheuristics are by far the most widely used (they represent more than 50% of the articles found). On the other hand, we suggest some lines for future research to further consolidate this field. In particular, we want to highlight the multi-objective approach, since due to the nature of the problem and the production paradigm, the optimization objectives involved are generally in conflict. In addition, decentralized approaches such as those based on game theory are promising lines for future research.

Optimization of economic and environmental factors of the logistic system of enterprise management

The purpose of the study is to develop an economic-mathematical model of the socio-economic system, which takes into account its logistical structure and ecological viability. This allows for optimal budget planning for the new project. The methodology of the study is based on the method of J. Forster, who proposed to consider the logistics system of any enterprise as a system of reservoirs linked by material, financial and information flows. The main result of the study is as follows. The methodology is designed and developed a mathematical program that allows estimating the relative value of fixed assets of production and the number of costs for creating a retail network with the impact of the environmental components. It is shown that this ratio is determined by the value of all key parameters of the enterprise logistics system. This result was obtained through careful modeling of structural changes in the logistics system of the enterprise. All basic communications (flows) between the elements of the logistics system were also considered. Calculations were conducted for the system of the equations which have been written down in shape with discrete-time. At the same time modeling was carried out so that there were no “not physical” phenomena (such as overflow of warehouses, etc.). As a result of calculations, optimum values for all basic characteristics of the new project have been specified. The most actual has separately been considered for practice as a case of optimum planning of storage facilities. The practical importance of research consists that scientific representations about interrelation of the capacity of the enterprise with key parameters of the logistic system can form a basis for more effective planning and management budgetary and production processes at the enterprise, namely: it is more reasonable to plan scales of production and expenses on logistics creation.

Enhancement of human-centered workplace design and optimization with Exoskeleton technology

Abstract The employment of intelligent tools in production, such as the new area of wearable robotics, the Exoskeletons, represents valuable and promising technology to reduce the physical stress and increase innovation, productivity and workplace safety. The challenge of realizing these advanced manufacturing environments with integrated Exoskeletons is represented by missing design and planning methods required to equip future workplaces with this enabling technology. The integration of Exoskeletons in logistics and production activities creates a new hybrid type of workstation that has to be designed according to a scientific approach. The article presents the first steps in developing an innovative approach to planning and optimizing intelligent working environments with integrated adaptive Exoskeletons. The topic harmonizes three main areas of research: a) production technologies and holistic planning of production processes; b) ergonomics, safety and security of workers in production environments and c) configuration based on the components of the new type of wearable robotics, the Exoskeletons. The validation of this approach is provided through the creation of digital human/Exoskeleton models combining digital Exoskeleton with various digital human models. The Digital Twin of the human/Exoskeleton system is the heart of a holistic design and optimization process that aims to assess the appropriateness of the selected Exoskeleton by simulating the tasks performed and adapting the simulation parameters. An exemplary validation case in one of the most innovative and dynamic sector, the construction sector, demonstrates the applicability of the model. A guideline for migrate the model in other industry sectors is provided, as well.

Holistic integration of a VR solution into the planning process of scalable production systems

Due to the emission scandals and politics the automotive industry is forced to focus more on electromobility. Along with electromobility comes the risk of a volatile consumer market, which the motor industry tries to minimize by implementing scalable production systems.This paper aims to provide a solution to support the planning of scalable production systems by using the virtual method virtual reality (VR). To achieve this goal, a model for the holistic integration of VR into the production planning process of scalable production systems is developed and different possibilities of implementation are compared and evaluated.

Automation of Production Activities of an Industrial Enterprise based on the ERP System

The article reflects the results of the research on the improvement of the production activities of a machine-building enterprise by automating the production planning process. It analyzes the enterprise’s state of affairs in the planning process, reveals the main problems of the enterprise; gives an analysis and comparison of the existing automated systems, selects an ERP-system for the enterprise’s conditions; develops an automated production planning process and a methodology for automating the production planning process in the SAPERP system for the enterprise’s conditions. The authors experimentally verify the efficiency of the developed methodology. The research results include: establishment of effective control and planning of business processes; reducing the labor intensity of process management; increasing their stability; increasing the maneuverability of the enterprise’s actions and quick response to the changing market conditions; reducing the costs for external and internal failures.

Облачная платформа систем поддержки принятия решений для задач планирования деятельности цифровых производств

Рассмотрена задача разработки платформы для процессов цифрового производства. Описаны возможные онтологии предметной области, состоящей в организации и планировании экономической деятельности предприятий и учреждений, в том числе в производственной сфере. Спроектирована модульная архитектура облачной платформы для цифровизации производственных процессов в области обрабатывающих производств и строительства. Определены задачи, решаемые каждым функциональным модулем. Purpose. The paper deals with the problem of decision-making support for digital production planning. Methodology. The formalization of the subject area (ontology) is developed on the basis of the approach used in production and operational management, in particular, for the possible planning of digital production in back-office industries and construction. Findings. Main stages of digital production planning are identified such as optimization for the placement (choice of place) of production, optimal selection of suppliers of resources, optimization of storage of resources and delivery to the place of production. The analysis of the stages for organization and production planning currently is poorly represented in existing software solutions as a set of several cloud services. Originality/value. Taking into account the conditions for the modern stage of development of technologies for the digital production we can identify the key requirements for the functionality and use of the software platform. The architecture of a digital cloud platform and its functional modules has been developed for the planning of digital production. It is a decentralized platform as a public network, consisting of independent software modules (cloud services) connected to a tool with an expandable number of modules. The tool consists of a unit for the organization and planning of production processes and the block of the modules that accompanies implementation of process of production activity. Currently, a number of modules of the system have been developed and experimentally tested. Now we are developing the full-featured tool.

Production planning process effectiveness improvement through the automated system introduction

The necessity of special automated systems creation for the effective organization of industrial enterprise processes is substantiated. The effectiveness indicators of the production planning process are defined and the criteria for their evaluation are determined. The results of an automated planning system introduction at several instrument-making enterprises are presented, according to which an improvement in all effectiveness indicators was obtained, namely: the number of mistakes in the data collection subprocess was reduced by 85%, the time of production plan creation was reduced to 1 minute, the mistakes of plan creation process were completely eliminated, the time of plan and it versions assessment was reduced by 60%, and the timing of the studied planning subprocesses was completely observed.

Integrated platform solutions and quality management in the planning and organization of production processes

The article deals with the task of coordinating digital and industrial platforms in the context of interaction between the subjects of the digital economy. Digital transformation should occur against the background of the systematic introduction of modern corporate governance methods, including: investment management, project management, financial management, personnel management, knowledge management, etc. The authors clarify the possibility of using ontologically oriented intellectual methods to support planning and organization of production processes. The article shows that the use of intelligent methods in building platform solutions begins with identifying, classifying and describing the main processes of an enterprise, establishing their sequence and interconnection. The authors propose ontologically oriented methods for coordinating the management and planning of production processes. The models are presented of production data support scenarios in accordance with the requirements of business processes. In addition, in addition to the production process scenarios, the solution includes a set of typical user access scenarios and basic data transfer services by experts.

110th Anniversary: Knowledge-Based Recipe Management for Production Processes

The advent of digitalization has raised new opportunities for automated decision-making and integration of production processes. However, the effective and timely use of decision-making tools requires robust and reliable data acquisition systems to extract model relevant parameters and to drive the proposed enterprise wide coordination strategies. This work aims to create a knowledge-based platform for systematic creation and management of production recipes based on industry standards, namely ANSI/ISA-88 and ANSI/ISA-95 standards. The platform supports the generation of master and control recipes ready for production planning, scheduling, and complete process management. Thus, information can be delivered as required by the decision-support tools. As a result, this framework stands for a traceable and reliable tool, which supports recipe management functionalities and could support the creation of decision systems that react to production disturbances. In addition, the framework allows for integrating th...

FLOWSHOP SCHEDULING WITH SEQUENCE DEPENDENT SET-UP TIME USING IMMUNE ALGORITHM TO REDUCE MAKESPAN IN PT. XYZ BANDUNG AS A TEXTILE INDUSTRY

In manufacturing operations, production system is certainly an important aspect. Thus, company should do the planning and production control well in order to have satisfactory system. One of the production planning process is scheduling. This process is one of the main process in production planning. The urge of doing the scheduling process is due to scheduling is the details of the planning process. The production scheduling in textile industry is considered as the industry with the hybrid flow shop scheduling type. Moreover, in this company there are several machine have the characteristic of sequence dependent setup time. Thus, in order to get the optimal solution this research used Immune Algorithm. This algorithm combines an efficient mutation to cooperate the pursuit for a near-optimal solution.

System development for establishing shipyard mid-term production plans using backward process-centric simulation

In this paper, we propose a simulation method based on backward simulation and process-oriented simulation to take into account the characteristics of shipbuilding production, which is an order-based industry with a job shop production environment. The shipyard production planning process was investigated to analyze the detailed process, variables and constraints of mid-term production planning. Backward and process-centric simulation methods were applied to the mid-term production planning process and an improved planning process, which considers the shipbuilding characteristics, was proposed. Based on the problem defined by applying backward process-centric simulation, a system which can conduct Discrete Event Simulation (DES) was developed. The developed mid-term planning system can be linked with the existing shipyard Advanced Planning System (APS). Verification of the system was performed with the actual shipyard mid-term production data for the four ships corresponding to a one-year period.

Hybrid production system: perspectives in supply chain risk management

Purpose From the perspective of the supply chain risk management (SCRM), this paper addresses the effects of a hybrid production system (make-to-stock and make-to-order) in order to know which risks can impact the production planning process at a large automaker in Brazil. Through the correlation of these themes, the purpose of this paper is to understand the relevant risks to the supply chain (SC). Design/methodology/approach Before the field research, a theoretical approach was made on two themes. After theoretical analysis of a case study on the automaker and data collection, the work used the Pearson’s product moment correlation (r) and χ2 and Kolmogorov–Smirnov tests to assess the risk factors raised by the interviewed professionals, thus characterizing a mixed methodological approach (i.e. qualitative and quantitative). Findings It was evidenced that many risks are the result of functional failures, such as input of incorrect information in the system, and many are inherent to managerial decisions when procedures and different paths of production are adopted. Additionally, it has been proven that the adoption of a hybrid production planning approach does not increase the risks to the SC and that the identified risks do not necessarily are included within the scope of SCRM. Originality/value This study is characterized by an approach which combines SCRM and hybrid production system.

Analyzing scientific research topics in manufacturing field using a topic model

We can gain a thorough understanding of an academic field by surveying related scientific literature. We applied the latent Dirichlet allocation (LDA) method and developed a topic model to analyze changes in research topics over time and identify the temporal dynamics of manufacturing-related research with respect to journals and countries/areas. The data were collected from 82,248 published journal abstracts published in 43 journals between 1990 and 2016. We found that the research scope of manufacturing has become increasingly interdisciplinary; management science and materialogy have become more important. Also, manufacturing research is no longer limited to traditional sub-fields such as manufacturing processes, mechanical transmission, and machining tools but is also concerned with advanced manufacturing techniques (e.g., laser-based manufacturing, semiconductor fabrication, and planning of production processes). By quantifying the temporal trends of topics at the country/area level, we found that researchers in different regions tend to focus on different sub-fields, while adjacent countries/areas commonly share research topics. Our findings could be of great value to researchers, enterprises, journals and publishers who are interested in identifying promising or popular topics.

IDENTIFICATION AND ASSESSMENT OF HIGH-PRODUCTIVITY PLANT PRODUCTION PLANNING PROCESS RISKS

Analysis of production planning process was done: model of process described with applying of IDEF0 methodology, problems of production planning process listed and also risks of developed process identified. Risk assessment conducted by two methods – critical level ranking by experts and FMEA. Calculation results of Kendall coefficient of concordance and Spearmen criterion showed consistency of expert opinions and comparability of the level of assessed risks criticality. The most critical risks include risks related with mistakes in provided data and created plan and also risk of provided data unreliability. A key way of identified risks elimination is automating of studied process. After development of automated planning system and implementation of all methods for risks elimination or minimization, risk of wrong data entry into the system was assessed by HRA method.

Modeling an inventory problem with random supply, inspection and machine breakdown

As businesses operating in the production sector often need to deal with defective products and machine breakdowns, they may experience challenges in their production planning and control processes. This study addresses random machine breakdown to derive an optimal production time for defective products under an abort/resume inventory control policy. Machine time-to-breakdown involves two scenarios: namely, the occurrence of machine breakdown during production and its occurrence after production. Total expected cost functions are derived for each scenario. The average cost is then assessed in terms of expense over time. This study explores assumptions such as the performance of the inspection both during and after production, defective products being discarded, and others being sold at discount prices, and the time-to-breakdown being exponentially distributed. Numerical examples are given to explain the model which has been developed, and the convex formation of the expected function of total cost is illustrated in a graph. Optimal values are investigated for production time and total cost based on two different values of the number of machine breakdowns per unit time. Sensitivity analyses are used to show how a number of system parameters affect the optimal solution. These analyses demonstrate that the demand rate and the number of machine breakdowns have a significant effect on the optimal solutions.

СТРУКТУРИРОВАНИЕ ФУНКЦИИ КАЧЕСТВА СЛОЖНЫХ ТЕХНИЧЕСКИХ СИСТЕМ ПОД ВОЗДЕЙСТВИЕМ МАКРОЭКОНОМИЧЕСКИХ ТРЕНДОВ

To date, the macroeconomic trends of the aviation industry, affect not only consumer demand, but also the development of business and government. The article reviewed the main aspects of the impact of macroeconomic trends on the market of modern civil aviation equipment. Taking into account modern macroeconomic trends, to maintain competitiveness in the civil aviation market, the possibility of structuring the quality function of a complex technical system was described, using elements of one of the home quality techniques that identify consumer requirements and provide some order ensuring that these requirements determine the development of products and production process planning. Taking into account the opinions of various consumer groups, a consumer voice matrix was formed, the relative importance of which is based on a value scale of 100 units. By translating consumer requirements into technical characteristics, pairwise comparison of consumer requirements of the main participants in the civil aviation market segment formulated a dependency matrix. And also correlated is the matrix of interrelations between quality characteristics, which made it possible to assess the degree of possible modernization of the object under study and increase the demand in the market for civil aviation technology, setting a new trend to macroeconomic indicators.

Production Process Planning in Additive Manufacturing and Conventional Machining Technology Manufacturing System

Main goal of this study is to describe and design manufacturing system which is using Additive manufacturing technology for production of semi-finished products and conventional machining technology for finishing operations, then demonstrate requirements of such production on simulation model on production planning and then analyze and summarize the outputs of the production model. The model is made with aid of modern Digital Factory tools. The main purpose of the model is to provide a complex tool for this study in order to analyze and optimize the fictive production system in needed range and complexity. The topic of Rapid Prototyping and Additive manufacturing technologies is very recent topic in industry. But still, there are only few examples of production systems, which are really using Rapid Prototyping technologies as a part of the production or production line. The advantage of these technologies is their versatility, but on the other hand, as a part of production system, they can have different demands on for example production planning, area consumption or maintenance, that can affect whole production system.

Selected Elements of the Management of Production Processes

Abstract The effectiveness and efficiency of production system is a guarantee of the company’s success, especially in times of dynamic growth of trade (including online trade), as well as increasing customers’ requirements, who want to have goods always available and delivered, preferably on the day of order. A modern customer of services raises the bar high not only for production systems, but also for transport systems. Therefore, IT tools supporting the management process of all areas of its activity are implemented in enterprises. This article describes selected of them, focusing primarily on the support of production planning process. As the use of IT systems should be preceded by deepening the knowledge of algorithms applied in them, first of all a calculation example of the use of material requirements planning procedure for complex products with a modular structure was presented, and then the characteristics of selected IT tools supporting the processes of material requirements planning and enterprise resource planning have been made.

FLOWSHOP SCHEDULING WITH SEQUENCE DEPENDENT SET-UP TIME USING IMMUNE ALGORITHM TO REDUCE MAKESPAN IN PT. XYZ BANDUNG AS A TEXTILE INDUSTRY

In manufacturing operations, production system is certainly an important aspect. Thus, company should do the planning and production control well in order to have satisfactory system. One of the production planning process is scheduling. This process is one of the main process in production planning. The urge of doing the scheduling process is due to scheduling is the details of the planning process. The production scheduling in textile industry is considered as the industry with the hybrid flow shop scheduling type. Moreover, in this company there are several machine have the characteristic of sequence dependent setup time. Thus, in order to get the optimal solution this research used Immune Algorithm. This algorithm combines an efficient mutation to cooperate the pursuit for a near-optimal solution.
 Keywords—Hybrid flow shops, Sequence Dependent Setup Times, Makespan, Immune Algorithm