scholarly journals Green Production Planning and Control Model with ABC under Industry 4.0 for the Paper Industry

2018 ◽  
Vol 10 (8) ◽  
pp. 2932 ◽  
Author(s):  
Wen-Hsien Tsai ◽  
Shang-Yu Lai
Keyword(s):  
Mathematical Programming ◽  
Industry 4.0 ◽  
Production Efficiency ◽  
Production Control ◽  
Programming Model ◽  
Paper Industry ◽  
Green Manufacturing ◽  
Activity Based Costing ◽  
Product Mix ◽  
Manufacturing Technologies

In the last 20 years, with the liberalization of the economy, and the trend of industrial globalization, people have gradually paid more attention to environmental protection. With the tremendous advances in information technology, enterprises facing such a severe impact on the business operations, business administrative models must be innovative and adaptable in order to survive and flourish. The paper industry is not only a highly polluting industry, but in the case of long-term overcapacity, the price of paper products is often suppressed, which lowers profitability. The purpose of this study, which is based on the production data of a paper company, is to pose a mathematical programming decision model which integrates green manufacturing technologies, activity-based costing (ABC), and the theory of constraint (TOC); this model should assist in preparing the best production plans, and achieve the optimal profitable product mix. In addition, this study also proposes that the most popular related technologies developed by Industry 4.0 be applied to production control in recent years in order to enhance production efficiency and quality. The findings of this study should contribute to the improvement of the competitiveness of the paper industry, and provide insights into the value of an integrated mathematical programming model applied for product-mix decision. At the same time, we have also applied the related technologies developed by Industry 4.0 to machine maintenance and quality control in manufacturing workshops. With its tremendous benefits, we can actively arouse the industry’s understanding of, and attention to, Industry 4.0, thereby increasing the interest in industrial 4.0-related technology investments.

scholarly journals Green Activity-Based Costing Production Decision Model for Recycled Paper

Energies ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 2413 ◽  
Author(s):  
Chu-Lun Hsieh ◽  
Wen-Hsien Tsai ◽  
Yao-Chung Chang
Keyword(s):  
Mathematical Programming ◽  
Programming Model ◽  
Paper Industry ◽  
Labor Cost ◽  
Production Model ◽  
Theory Of Constraints ◽  
Carbon Equivalent ◽  
Activity Based Costing ◽  
Recycled Paper ◽  
Green Production

Using mathematical programming with activity-based costing (ABC) and based on the theory of constraints (TOC), this study proposed a green production model for the traditional paper industry to achieve the purpose of energy saving and carbon emission reduction. The mathematical programming model presented in this paper considers (1) revenue of main products and byproducts, (2) unit-level, batch-level, and product-level activity costs in ABC, (3) labor cost with overtime available, (4) machine cost with capacity expansion, (5) saved electric power and steam costs by using the coal as the main fuel in conjunction with Refuse Derived Fuel (RDF). This model also considers the constraint of the quantity of carbon equivalent of various gases that are allowed to be emitted from the mill paper-making process to conform to the environmental protection policy. A numerical example is used to demonstrate how to apply the model presented in this paper. In addition, sensitivity analysis on the key parameters of the model are used to provide further insights for this research.

A product-mix decision model using green manufacturing technologies under activity-based costing

2013 ◽  
Vol 57 ◽  
pp. 178-187 ◽  
Author(s):  
Wen-Hsien Tsai ◽  
Hui-Chiao Chen ◽  
Jun-Der Leu ◽  
Yao-Chung Chang ◽  
Thomas W. Lin
Keyword(s):  
Decision Model ◽  
Green Manufacturing ◽  
Activity Based Costing ◽  
Product Mix ◽  
Manufacturing Technologies

scholarly journals Green Production Planning and Control for the Textile Industry by Using Mathematical Programming and Industry 4.0 Techniques

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2072 ◽  
Author(s):  
Wen-Hsien Tsai
Keyword(s):  
Mathematical Programming ◽  
Textile Industry ◽  
Industry 4.0 ◽  
Programming Model ◽  
Environmental Issues ◽  
Mathematical Programming Model ◽  
Waste Reuse ◽  
Planning And Control ◽  
Green Production ◽  
And Control

The textile industry is one of the world’s major sources of industrial pollution, and related environmental issues are becoming an ever greater concern. This paper considers the environmental issues of carbon emissions, energy recycling, and waste reuse, and uses a mathematical programming model with Activity-Based Costing (ABC) and the Theory of Constraints (TOC) to achieve profit maximization. This paper discusses the combination of mathematical programming and Industry 4.0 techniques to achieve the purpose of green production planning and control for the textile industry in the new era. The mathematical programming model is used to determine the optimal product mix under various production constraints, while Industry 4.0 techniques are used to control the production progress to achieve the planning targets. With the help of an Industry 4.0 real-time sensor and detection system, it can achieve the purposes of recycling waste, reducing carbon emission, saving energy and cost, and finally achieving a maximization of profit. The main contributions of this research are using mathematical programming approach to formulate the decision model with ABC cost data and TOC constraints for the textile companies and clarifying the relation between mathematical programming models and Industry 4.0 techniques. Managers in the textile companies can apply this decision model to achieve the optimal product-mix under various constraints and to evaluate the effect on profit of carbon emissions, energy recycling, waste reuse, and material quantity discount.

scholarly journals Information gap in value propositions of business models of language schools

2020 ◽  
Vol 30 (2) ◽  
Author(s):  
Zbigniew Malara ◽  
Paweł Ziębicki
Keyword(s):  
Inventory Management ◽  
Industry 4.0 ◽  
Production Efficiency ◽  
Business Models ◽  
Industrial Revolution ◽  
Production Control ◽  
Information Gap ◽  
Value Propositions ◽  
Language Schools ◽  
The Cost

Industry 4.0 is the result of the development of cyber-physical generation systems as a part of the fourth industrial revolution. Industry 4.0 sets new areas for change in the sphere of production and management but also influences various aspects of society. Industry 4.0 is focused on continuous improvement of production processes. This is a turnaround in the production control methodology, as the growing expectations of customers in the modern market cause, along with the increase in production efficiency, customisation of the product. In this trend, the customer decides about the product, personalising it as much as possible and in the best possible way. These are new challenges in the field of inventory management. The article aims to present a method of calculating the optimal amount of the cost of a rotating stock in a production enterprise with an unevenly distributed demand, which is the case with personalised orders.

scholarly journals Smart Product Design and Production Control for Effective Mass Customization in the Industry 4.0 Concept

2016 ◽  
Vol 7 (3) ◽  
pp. 105-112 ◽  
Author(s):  
Przemysław Zawadzki ◽  
Krzysztof Żywicki
Keyword(s):  
Virtual Reality ◽  
Mass Customization ◽  
Industry 4.0 ◽  
Production Control ◽  
New Product ◽  
General Concept ◽  
Efficient Operation ◽  
Smart Product ◽  
Manufacturing Technologies ◽  
Design And Production

Abstract The paper presents a general concept of smart design and production control as key elements for efficient operation of a smart factory. The authors present various techniques that aid the design process of individualized products and organization of their production in the context of realization of the mass customization strategy, which allows a shortened time of development for a new product. Particular attention was paid to integration of additive manufacturing technologies and virtual reality techniques, which are a base of the so-called hybrid prototyping.

A Linear Programming Model for Product Mix Profit Maximization in A Small Medium Enterprise Company

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
S Mohd Baki ◽  
Jack Kie Cheng
Keyword(s):  
Linear Programming ◽  
Production Planning ◽  
Business Performance ◽  
Programming Model ◽  
Profit Maximization ◽  
Optimal Level ◽  
Linear Programming Model ◽  
Product Mix ◽  
Small Medium Enterprises ◽  
Medium Enterprises

Production planning is often challenging for small medium enterprises (SMEs) company. Most of the SMEs are having difficulty in determining the optimal level of the production output which can affect their business performance. Product mix optimization is one of the main key for production planning. Many company have used linear programming model in determining the optimal combination of various products that need to be produced in order to maximize profit. Thus, this study aims for profit maximization of a SME company in Malaysia by using linear programming model. The purposes of this study are to identify the current process in the production line and to formulate a linear programming model that would suggest a viable product mix to ensure optimum profitability for the company. ABC Sdn Bhd is selected as a case study company for product mix profit maximization study. Some conclusive observations have been drawn and recommendations have been suggested. This study will provide the company and other companies, particularly in Malaysia, an exposure of linear programming method in making decisions to determine the maximum profit for different product mix.

OPTIMAL ANALYSIS OF FARM AGRICULTURAL MACHINERY EQUIPMENT BASED ON MATHEMATICAL MODELLING

2020 ◽  
pp. 333-340
Keyword(s):  
Mathematical Modelling ◽  
Production Efficiency ◽  
Programming Model ◽  
Constraint Equation ◽  
Economic Benefits ◽  
Agricultural Machinery ◽  
Optimization Analysis ◽  
Agricultural Modernization ◽  
Actual Equipment ◽  
Optimal Allocations

With the development of science and technology, the degree of agricultural mechanization is getting higher and higher. Agricultural machinery is an important support for the development of agricultural modernization. Optimizing the allocation of agricultural machinery is conducive to improving agricultural production efficiency and economic benefits. In this paper, mathematical modelling method is mainly used in the analysis and optimization of agricultural machinery configuration. By determining the objective function and constraint equation, combined with the actual situation of Xinjiang Production and Construction Corps, the linear programming model and workload model of agricultural machinery and equipment optimization are established. Finally, the actual number of agricultural machinery and equipment and the number of optimal allocations of Xinjiang Production and Construction Corps farm were compared. The effectiveness of the optimization model is verified by comparing the optimized agricultural machinery equipment with the actual equipment. The results show that the optimized equipment model has good optimization effect. On the basis of reducing the number of agricultural machinery and equipment, the matching rate of agricultural machinery is improved, and the operation cost of agricultural machinery is effectively reduced. It is hoped that this study can provide certain reference and reference for the optimization analysis of agricultural machinery and equipment based on mathematical modelling.

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