A mathematical model on eco-friendly manufacturing system under probabilistic demand

2019 ◽  
Vol 53 (5) ◽  
pp. 1899-1913 ◽  
Author(s):  
Moumita Bhattacharyya ◽  
Shib Sankar Sana
Keyword(s):  
Mathematical Model ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Green Manufacturing ◽  
Random Variable ◽  
Service Level ◽  
Green Technology ◽  
Decision Variable ◽  
Market Demand ◽  
Proposed Model

The article deals with a mathematical model of production inventory system of green products in a green manufacturing industry. The main objective of this proposed model is to formulate a profit function for service level and random variable dependent demand implementing green technology in the manufacturing industry for reduction of green house gas emission. The production lotsize is considered here as an increasing function of green technology and capital invested for setup the manufacturing system which meets the market demand. As a result, green technology, capital invested for setup and service level are decision variable which are optimized to achieve maximum profit. Finally, numerical example for normal distribution and distribution free cases are illustrated to justify the proposed model.

scholarly journals Improving the Effectiveness of Multi-Agent Cooperation for Green Manufacturing in China: A Theoretical Framework to Measure the Performance of Green Technology Innovation

2020 ◽  
Vol 17 (9) ◽  
pp. 3211 ◽  
Author(s):  
Shi Yin ◽  
Nan Zhang ◽  
Baizhou Li
Keyword(s):  
Manufacturing System ◽  
Technology Innovation ◽  
Green Manufacturing ◽  
Green Technology ◽  
Innovation Performance ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Manufacturing Enterprises ◽  
Multi Agent ◽  
Agent Cooperation

A green manufacturing system is an important tool to realize green transformation of the manufacturing industry. The systematicness of green technology innovation as the key foundation of green manufacturing supports the entire huge green manufacturing system. In order to improve the effectiveness of multi-agent cooperation, it is necessary to analyze a series of green technology innovation achievements of manufacturing enterprises under multi-agent cooperation. First of all, inter-indicator correlation analysis and exploratory factor analysis were used to construct the evaluation index system of the green technology innovation performance of manufacturing enterprises under multi-agent cooperation. Then, a secondary combined evaluation model was constructed based on the evaluation conclusions. Finally, a theoretical framework was constructed to measure the performance of the green technology innovation of manufacturing enterprises under multi-agent cooperation. The results of this study are as follows: The evaluation index system of the green technology innovation performance of manufacturing enterprises under multi-agent cooperation is composed of the technology output, economic output, and social effect of green technology innovation. The key factors that influence the green technology innovation performance of manufacturing enterprises under multi-agent cooperation are the proportion of green technology transformation in traditional technology, the number of papers published jointly by multi-agent cooperation, the user acceptance of green technology products, and the degree of improvement of public environmental preference and consciousness. A fusion of technology of subjective and objective methods is an effective evaluation technique and can be applied to evaluate the performance of green technology innovation. The secondary combined evaluation combines the evaluation conclusions obtained by each single evaluation method in a certain form.

scholarly journals Performance of Sustainable Development and Technological Innovation Based on Green Manufacturing Technology of Artificial Intelligence and Block Chain

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xiangyu Jiang ◽  
Gu-Hong Lin ◽  
Jui-Chan Huang ◽  
I-Hsiang Hu ◽  
Yen-Chun Chiu
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Manufacturing Industry ◽  
Technology Innovation ◽  
Green Manufacturing ◽  
Green Technology ◽  
Manufacturing Technology ◽  
The Sustainable Development ◽  
Blockchain Technology ◽  
Green Manufacturing Technology

The powerful advanced manufacturing industry is the most powerful driving force for economic development and growth, and it is also the main source of environmental pollution. Artificial intelligence and blockchain technology are recognized as a breakthrough technology that can be widely used, changing the way the entire society and economy operate. The main constraints affecting the sustainable development of the manufacturing industry are ecological deterioration and resource shortage, but the development of artificial intelligence and blockchain technology provides new ideas for solving manufacturing problems. Based on this, this paper proposes a research on the sustainable development performance of green manufacturing technology innovation based on artificial intelligence and blockchain technology. This paper deeply grasps the essence and connotation of artificial intelligence and blockchain technology, analyzes its specific application form and research background, searches for the effective effect of manufacturing technology innovation and green manufacturing performance path, and clarifies the mechanism between the two. All measurement items in the questionnaire used in this article use Likert5 scale and use 1–5 options to indicate the degree of conformity with the actual situation of the enterprise. The results show that the average green manufacturing capacity of each measurement item is between 3.18∼3.97, indicating that the company's green manufacturing capacity is relatively high. Among them, the ability of green technology innovation is relatively high, indicating that most companies have noticed that the improvement of the ability of green technology innovation plays a vital role in the future sustainable development of enterprises. Moreover, more and more companies are paying attention to the latest applications of blockchain technology, which can effectively promote the development of enterprises.

A Mathematical Model for Tactical Operations Planning for Response-Base Supply Chains

2011 ◽  
pp. 241-252
Author(s):  
Sheu Hua Chen
Keyword(s):  
Mathematical Model ◽  
Supply Chains ◽  
Lead Time ◽  
Random Variable ◽  
Operations Planning ◽  
Proposed Model ◽  
Holding Cost ◽  
Inventory Holding Cost ◽  
Inventory Holding ◽  
The Relationship

This article explores the issue of lead-time in response-based supply chains. From a tactical viewpoint of response-based supply chains, the processing time for each stage is assumed to be a random variable since different practices exist in the selection pool of each stage under a specific lead-time requirement. The decision-maker must select suitable practices of operations for each stage to ensure that the lead-time meets a desired requirement. The relationship and the trade-off between the operating costs for the selected practices and the inventory holding cost of safety stock that is in turn affected by the lead-time are discussed. A mathematical model for planning the operations from a manufacturer viewpoint is proposed. The variation in practical situation for the proposed model is also addressed. A hypothetic example is provided to illustrate the effectiveness of the proposed model. With reference to the computational results, the effect of several parameters on the model’s optimal solutions was discussed.

Integrated dynamic cell formation with operator assignment and inter-cell layout problems: A mathematical model

2015 ◽  
Vol 231 (9) ◽  
pp. 1658-1669 ◽  
Author(s):  
Saeed Sadeghi ◽  
Mohammad Ali Forghani ◽  
Masoud Seidi
Keyword(s):  
Mathematical Model ◽  
Sensitivity Analysis ◽  
Manufacturing System ◽  
Cellular Manufacturing ◽  
Cell Formation ◽  
Cellular Manufacturing System ◽  
Numerical Examples ◽  
Proposed Model ◽  
Dynamic Cell ◽  
Operator Assignment

Designing a cellular manufacturing system involves four major decisions: cell formation, cellular layout, operator assignment and cellular scheduling which should be considered, simultaneously. This article presents a new mathematical model to solve the cell formation, operator assignment and inter-cell layout problems, concurrently. The objectives of proposed model are minimization of inter–intra cell part movements, machine relocation cost and operator-related issues including hiring, firing, training and salary costs. Two numerical examples in both small and large sizes are optimally solved by the Lingo software to verify and validate the proposed mathematical model. Also, a sensitivity analysis is performed to analyze the behavior of operators in different production periods.

scholarly journals Joint Inventory Replenishment Planning of an E-Commerce Distribution System with Distribution Centers at Producers’ Locations

Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 45
Author(s):  
Bo Dai ◽  
Fenfen Li
Keyword(s):  
Mathematical Model ◽  
Circular Economy ◽  
Distribution System ◽  
Co2 Emission ◽  
Service Level ◽  
Distribution Centers ◽  
Joint Replenishment ◽  
Multiple Products ◽  
Inventory Replenishment ◽  
Proposed Model

In this study, joint inventory replenishment planning of an Alibaba distribution system is investigated, which contributes to the circular economy concept. The distribution system includes suppliers, central distribution centers, and front distribution centers. The total replenishment cost of the distribution system can be reduced by setting up distribution centers at producers’ locations (PDCs), which also helps to reduce the wastages of commodities during the transportation and CO2 emission released by transportation. The joint replenishments of multiple products are constrained by a maximum joint replenishment quantity. Trans-shipments happen among different distribution centers. The considered problem seeks to find the replenishment quantities of products among stocks, which can minimize the total replenishment cost of the system, and is formulated as a novel mathematical model. The effectiveness of our proposed model is validated by computational experiments based on Alibaba’s data. The results indicate that PDCs and trans-shipments can bring about lower replenishment costs if a common service level of the system is given.

Assortment Optimization with Product Level Demand and Substitution Information

2018 ◽  
Vol 11 (3) ◽  
pp. 46-63
Author(s):  
Lihua Bai ◽  
Junyan Wang ◽  
Nazrul I. Shaikh
Keyword(s):  
Mathematical Model ◽  
Service Level ◽  
Base Stock ◽  
Product Level ◽  
Assortment Optimization ◽  
Proposed Model ◽  
Demand Variability

This article presents a mathematical model for jointly optimizing base stock levels for the multiple items subject to service level goals. The proposed model uses the expected demand and substitution probabilities between products as inputs and has been used to analyze the effects of demand variability on profitability under service level constraint. The results of the analysis demonstrate that neglecting customer-driven substitution or excluding the impacts of variability and correlations in demand leads to significantly inefficient assortments.

scholarly journals Implementation of Strategic Structure By Integrating Flexible Manufacturing System With Green Technology for Enhancement of Productivity And Quality Of Product

2021 ◽  
Vol 2115 (1) ◽  
pp. 012045
Author(s):  
Kanchan Ganvir ◽  
Rakeshkumar Jain
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Green Manufacturing ◽  
Green Technology ◽  
Superior Performance ◽  
Technology Planning ◽  
Structural Framework ◽  
Component Manufacturing

Abstract The worldwide advancements of new innovations are developing at a touchy rate, yet associations are embracing more gradually henceforth, serious promoting society and incorporated supervisory crews are required in an organization to exploit new advances. Adaptable assembling innovations are seen by organizations to be a significant component Exceeding competitiveness and seriousness. Notwithstanding, dominating in the present market isn’t easy and straightforward like the procurement of fresh improvement. So as to accomplish more of advantages, the structural framework associations will combine to ensure that the execution of innovation should lead to the normal benefits. Hence, a structure that encourages flexible manufacturing system companies deciding the prerequisites of the FMS reception, with the correct blend of green technology and vital components is required. The study examines particular dimensions of green manufacturing Index Applicability and FMS such as Information technology, planning, flexible automation techniques. The outcome will determine the major substantiate to establish and strengthen the value of product with superior performance, Using the findings the research will suggests the implication and adoption for further research. It would definitely enhance the performance in any industrial organisation with economic growth. This Research aims to report the findings of an exploratory work by integrating Green Manufacturing and flexible Manufacturing system techniques to generate new strategies which can be further administered in an industrial organization and sectors such as component manufacturing, automobile parts and processing sectors.

THE DEVELOPMENT OF THE MATHEMATICAL MODEL OF PREDICTING THE INDICATORS OF ACCREDITATION OF TECHNICAL UNIVERSITIES IN THE RUSSIAN FEDERATION

2017 ◽  
pp. 27-38
Author(s):  
Olga Mikhaylovna Tikhonova ◽  
Alexander Fedorovich Rezchikov ◽  
Vladimir Andreevich Ivashchenko ◽  
Vadim Alekseevich Kushnikov
Keyword(s):  
Mathematical Model ◽  
System Dynamics ◽  
Regression Model ◽  
Oriented Graph ◽  
Real Data ◽  
Educational Process ◽  
Proposed Model ◽  
Linear Differential ◽  
The University ◽  
The Mathematical Model

The paper presents the system of predicting the indicators of accreditation of technical universities based on J. Forrester mechanism of system dynamics. According to analysis of cause-and-effect relationships between selected variables of the system (indicators of accreditation of the university) there was built the oriented graph. The complex of mathematical models developed to control the quality of training engineers in Russian higher educational institutions is based on this graph. The article presents an algorithm for constructing a model using one of the simulated variables as an example. The model is a system of non-linear differential equations, the modelling characteristics of the educational process being determined according to the solution of this system. The proposed algorithm for calculating these indicators is based on the system dynamics model and the regression model. The mathematical model is constructed on the basis of the model of system dynamics, which is further tested for compliance with real data using the regression model. The regression model is built on the available statistical data accumulated during the period of the university's work. The proposed approach is aimed at solving complex problems of managing the educational process in universities. The structure of the proposed model repeats the structure of cause-effect relationships in the system, and also provides the person responsible for managing quality control with the ability to quickly and adequately assess the performance of the system.

A Mathematical Model for the Anaerobic Digestion Process Applied to a Mixture of Night Soil and Septic Tank Sludge

1986 ◽  
Vol 18 (7-8) ◽  
pp. 239-248 ◽  
Author(s):  
Sung Ryong Ha ◽  
Dwang Ho Lee ◽  
Sang Eun Lee
Keyword(s):  
Mathematical Model ◽  
Anaerobic Digestion ◽  
Biomass Concentration ◽  
Gas Production ◽  
Septic Tank ◽  
Volatile Acid ◽  
Hydraulic Residence Time ◽  
Anaerobic Digestion Process ◽  
Digestion Process ◽  
Proposed Model

Laboratory scale experiments were conducted to develop a mathematical model for the anaerobic digestion of a mixture of night soil and septic tank sludge. The optimum mixing ratio by volume between night soil and septic tank sludge was found to be 7:3. Due to the high solids content in the influent waste, mixed-liquor volatile suspended solids (MLVSS) was not considered to be a proper parameter for biomass concentration, therefore, the active biomass concentration was estimated based on deoxyribonucleic acid (DNA) concentration in the reactor. The weight ratio between acidogenic bacteria and methanogenic bacteria in the mixed culture of a well-operated anaerobic digester was approximately 3:2. The proposed model indicates that the amount of volatile acid produced and the gas production rate can be expressed as a function of hydraulic residence time (HRT). The kinetic constants of the two phases of the anaerobic digestion process were determined, and a computer was used to simulate results using the proposed model for the various operating parameters, such as BOD5 and volatile acid concentrations in effluent, biomass concentrations and gas production rates. These were consistent with the experimental data.

Sign in / Sign up

Export Citation Format

Share Document