scholarly journals Investigating the Energy Consumption of the PECM Process for Consideration in the Selection of Manufacturing Process Chains

Procedia CIRP ◽  
2015 ◽  
Vol 29 ◽  
pp. 585-590 ◽  
Author(s):  
Martin Swat ◽  
Andreas Rebschläger ◽  
Kirsten Trapp ◽  
Tim Stock ◽  
Günther Seliger ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Manufacturing Process ◽  
Process Chains ◽  
Selection Of

BRIDGING THE GAP BETWEEN BUSINESS MODELS AND WORKFLOW SPECIFICATIONS

2004 ◽  
Vol 13 (03) ◽  
pp. 289-332 ◽  
Author(s):  
JULIANE DEHNERT ◽  
WIL M. P. VAN DER AALST
Keyword(s):  
Information System ◽  
Business Process ◽  
Process Modeling ◽  
Business Models ◽  
Formal Semantics ◽  
Business Process Modeling ◽  
Modeling Language ◽  
Correctness Criterion ◽  
Process Chains ◽  
Selection Of

This paper presents a methodology to bridge the gap between business process modeling and workflow specification. While the first is concerned with intuitive descriptions that are mainly used for communication, the second is concerned with configuring a process-aware information system, thus requiring a more rigorous language less suitable for communication. Unlike existing approaches the gap is not bridged by providing formal semantics for an informal language. Instead it is assumed that the desired behavior is just a subset of the full behavior obtained using a liberal interpretation of the informal business process modeling language. Using a new correctness criterion (relaxed soundness), it is verified whether a selection of suitable behavior is possible. The methodology consists of five steps and is illustrated using event-driven process chains as a business process modeling language and Petri nets as the workflow specification language.

scholarly journals Analysis of Energy Consumption of Indonesian Flat Glass Industry PT. X Based on Green Industry Standards

2018 ◽  
Vol 187 ◽  
pp. 03005
Author(s):  
Reviana Revitasari ◽  
Bambang Heru Susanto
Keyword(s):  
Energy Consumption ◽  
Glass Industry ◽  
Manufacturing Process ◽  
Flat Glass ◽  
Industrial Sector ◽  
Sustainable Production ◽  
Growth Environment ◽  
Green Industry ◽  
Industry Standards ◽  
Effectiveness And Efficiency

The natural resource consumption is higher along with the increasing needs of people in various sectors, which affect the environment directly or indirectly. Especially for energy consumption, the supply and availability of fossil energy, as a non-renewable energy, are increasingly depleted and not guaranteed in the long run, coupled with the issue of emissions generated. The industrial sector as a driver of the national economy, including the flat glass industry as a case study, is an energy intensive sector. Almost 83% of its energy consumption used for operating the furnaces as the main production unit with temperature up to 1700 °C continuously about 15 years. The increasing of effectiveness and efficiency of energy consumption in the glass manufacturing process will affect significantly to sustainable production in PT. X and gives many other valuable impacts to the economic growth, environment, and society. So, this study analyzes about the energy consumption in PT. X based on Green Industry Standards, believed as a proper strategy, the benchmark of some standards or related regulations for energy consumption in several countries, and the opportunity of the green industry concept implementation in the glass manufacturing process. The methods were studied of literature, plant observation, interview, and data calculation manually and using spreadsheets. The results indicate that the Flat Glass Industry PT. X requires the improvement to increase the effectiveness and efficiency of energy consumption to get the sustainable production.

scholarly journals KOMPETENSI PETERNAK SAPI POTONG PERANAKAN ONGOLE DALAM PEMBUATAN KOMPOS (STUDI KASUS PADA KELOMPOK TERNAK MEKAR KECAMATAN DAGANGAN KABUPATEN MADIUN)

2018 ◽  
Vol 10 (3) ◽  
pp. 1
Author(s):  
Deha Purwoko ◽  
Bekti Nur Utami
Keyword(s):  
Manufacturing Process ◽  
Research Method ◽  
Organic Content ◽  
Compost Quality ◽  
Preparation Stage ◽  
Before And After ◽  
Descriptive Approach ◽  
Quantitative Descriptive ◽  
Selection Of

This research aims to describe the level of competence of farmers in composting, and to draft extension and try out the implementation of counseling about composting in group of livestock of Mekar. The research was conducted in sub-district Dagangan of Madiun Regency. Selection of livestock group is done by purposive that is the only group of livestock that have made compost that is group of livestock of Mekar which is located in Kepet village. The research method used is case study with quantitative descriptive approach with scoring. The population is 44 people, the sample is based on the census. The results showed that: 1) the level of competence of farmers in composting is classified with the details of the competence of the preparation stage is low, the competence of the manufacturing process is low, and the competence of the storage stage is classified; and 2) drafting the extension plan based on the target and the purpose of extension so that the breeder know, understand and able to increase the C-Organic content and C / N Ratio on the compost according to the standard. Success shows the improvement of compost quality before and after counseling in accordance with the purpose of counseling.   Keywords: competence of breeder, livestock group of Mekar, draft extension, composting, extension

Application of Renewable Energy System With Fuzzy Logic

2021 ◽  
pp. 1007-1032
Author(s):  
Sweta Singh ◽  
Divya Zindani ◽  
Apurba Kumar Roy ◽  
Kaushik Kumar
Keyword(s):  
Energy Consumption ◽  
Wind Energy ◽  
Site Selection ◽  
Wind Farms ◽  
Energy System ◽  
Industrial Economy ◽  
Agrarian Economy ◽  
Wind Energy Systems ◽  
Growing Population ◽  
Selection Of

There has been rapid surge in energy consumption owing to the industrialization and the growing population. There has been a shift from agrarian economy to the industrial economy. This transformation has led to increased energy consumption in tandem with the emissions associated with it. Thus, the energy consumption has led to environmental concerns. Therefore, the planning and modeling of energy resources has become critical to economic growth and should be efficiently done for securing the health of the environment as well. Looking at the importance of modeling and planning, the present chapter is an attempt to explore the fuzzy based models used for the renewable systems and in particular the wind energy systems. It has been found that the fuzzy based models have been used extensively for installation of wind farms, for optimization of the parameters related to wind systems and for the site selection of the different wind energy farms.

scholarly journals Selection of Optimum Separation Sequence for Multicomponent Distillation

2019 ◽  
Vol 3 (3) ◽  
pp. 69 ◽  
Author(s):  
Anatoly Tsirlin ◽  
Ivan Sukin ◽  
Alexander Balunov
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Total Energy Consumption ◽  
Multicomponent Distillation ◽  
Separation Sequence ◽  
Selection Of ◽  
Optimum Separation

This paper considers the process of multicomponent distillation. It is shown that energy consumption (per mole of mixture being separated) depends monotonously on efficiency if the capacity is constant and separation is reversible. Authors suggest the technique for selection of distillation sequence for which the total energy consumption in the cascade of columns reaches its minimum. This sequence is determined by values of thermal coefficients. Coefficients themselves depend on temperatures in the reboiler and condenser. This paper offers the algorithm for the calculation of these coefficients.

scholarly journals Assessment and Comparison of Various MCDM Approaches in the Selection of Manufacturing Process

2020 ◽  
Vol 2020 ◽  
pp. 1-16 ◽  
Author(s):  
Atef M. Ghaleb ◽  
Husam Kaid ◽  
Ali Alsamhan ◽  
Syed Hammad Mian ◽  
Lotfi Hidri
Keyword(s):  
Decision Making ◽  
Computational Complexity ◽  
Manufacturing Process ◽  
Group Decision ◽  
Die Casting ◽  
Multicriteria Decision Making ◽  
Sand Casting ◽  
Manufacturing Processes ◽  
Alternative Processes ◽  
Selection Of

The selection of manufacturing processes for a given application is a complex problem of multicriteria decision-making although there have been several different approaches that can be utilized to select a suitable alternative. However, identifying appropriate multicriteria decision-making approach from the list of available methods for a given application is a difficult task. This work suggests a methodology to assess different selection approaches, which are the technique for order of preference by similarity to ideal solution (TOPSIS), analytic hierarchy process (AHP), and VIKOR: stepwise procedure. This valuation was done depending on the following factors: number of alternative processes and criteria, agility through the process of decision-making, computational complexity, adequacy in supporting a group decision, and addition or removal of a criterion. A case study in this study was presented to analyse the evaluation methodology. The criteria used to evaluate and identify the best manufacturing process were categorized into productivity, accuracy, complexity, flexibility, material utilization, quality, and operation cost. Five manufacturing processes were considered, including gravity die casting, investment casting, pressure die casting, sand casting, and additive manufacturing. The results showed that each approach was suitable for the problems of manufacturing process selection, in particular toward the support of group decision-making and uncertainty modelling. Manufacturing processes were ranked based on their respective weights for AHP, TOPSIS, and VIKOR, and sand casting is the best. In terms of computational complexity, the VIKOR method performed better than TOPSIS and AHP. Moreover, the VIKOR and TOPSIS methods were better convenient to the selection of manufacturing processes for agility during the process of decision-making, the number of alternative processes and criteria, adequacy in supporting a group decision, and addition or removal of a criterion.

Process Planning Strategies to Reduce Energy Consumption in Machining

2018 ◽  
Author(s):  
Arun Unnikrishnan ◽  
P. V. M. Rao
Keyword(s):  
Energy Consumption ◽  
Process Planning ◽  
High Performance ◽  
Cutting Parameters ◽  
High Energy ◽  
Point Of View ◽  
Energy Estimation ◽  
Tool Paths ◽  
Machined Parts ◽  
Selection Of

Continuous need to increase productivity and reliability in machining has led to high-performance machines that are often characterized by high energy demands. As a result, energy minimization is identified as one of the key goals in machining. With the availability of improved predictive models for energy estimation in machining, energy-conscious process planning for machining is now possible. The present work focuses on the assessment of process plans of machined parts from energy consumption point of view. An experimentally validated model for energy estimation is first presented. Using this model two important process planning variables on energy consumption in machining has been studied. Firstly selection of tool paths including curvilinear tool paths has been considered from energy consumption point of view. Secondly, strategies for the selection of cutting parameters for roughing, semi-finishing and finishing from energy consumption perspective are discussed.

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