scholarly journals Using the complexity index method to manage problems related to manufacturing

2021 ◽  
Vol 13 (2) ◽  
pp. 46-53
Author(s):  
Hadi Abou-Chakra
Keyword(s):  
Production System ◽  
Management Team ◽  
Manufacturing Companies ◽  
Index Method ◽  
Proper Actions ◽  
Work Content ◽  
Surplus Production ◽  
Complexity Index ◽  
Manufacturing Problems ◽  
Labour Time

Abstract The Complexity Index method is an approach developed to help manufacturing companies quantify complexity in production. This paper sheds light on the connection between complexity and manufacturing problems and how the Complexity Index method was used to capture the areas in a production line with high levels of complexity to determine the sources of manufacturing problems related to labour time, surplus production, and manufacturing error. The main areas perceived as complex were due to Work Instructions, Work Content, and Product Variants. The perceived complexities were assessed for proper actions to be taken to decrease their level of complexity. The correlations between complexity and manufacturing problems were used for tracking related issues and ways for improvement. This study presents data on the use of workers’ perception to uncover the areas of complexity, which could be used by the management team to pragmatically capture difficulties and issues related to manufacturing problems to improve the production system.

scholarly journals Validation of the complexity index method at three manufacturing companies

2013 ◽  
Author(s):  
Sandra Mattsson ◽  
Asa Fasth ◽  
Johan Stahre ◽  
Malin Karlsson ◽  
Kerstin Dencker ◽  
...  
Keyword(s):  
Manufacturing Companies ◽  
Index Method ◽  
Complexity Index

scholarly journals A Reliable Turning Process by the Early Use of a Deep Simulation Model at Several Manufacturing Stages

2017 ◽  
Author(s):  
Gorka Urbikain ◽  
Luis Norberto López De Lacalle ◽  
Mikel Arsuaga ◽  
Alvaro Alvarez ◽  
Miguel A. Alonso
Keyword(s):  
Machine Tools ◽  
Manufacturing Companies ◽  
Machining Processes ◽  
Knowledge Based ◽  
Direct Benefits ◽  
Definition Of ◽  
The Right ◽  
Machining Operations ◽  
Physical Laws ◽  
Manufacturing Problems

The future of machine tools will be dominated by highly flexible and interconnected systems, in order to achieve the required productivity, accuracy and reliability. Nowadays, distortion and vibration problems are easily solved in labs for the most common machining operations by using models based on equations describing the physical laws of the machining processes; however additional efforts are needed to overcome the gap between scientific research and the real manufacturing problems. In fact, there is an increasing interest in developing simulation packages based on “deep-knowledge and models” that aid machine designers, production engineers or machinists to get the best of the machine-tools. This article proposes a methodology to reduce problems in machining by means of a simulation utility, which uses the main variables of the system&process as input data, and generates results that help in the proper decision-making and machining planification. Direct benefits can be found in a) the fixture/clamping optimal design, b) the machine tool configuration, c) the definition of chatter-free optimum cutting conditions and d) the right programming of cutting toolpaths at the Computer Aided Manufacturing (CAM) stage. The information and knowledge-based approach showed successful results in several local manufacturing companies and are explained in the paper.

Effect of index selection in GGP lines on cocoon traits of silkworm commercial hybrids

2007 ◽  
Vol 2007 ◽  
pp. 68-68
Author(s):  
Mani Ghanipour ◽  
Seyed Ziaeddin Mirhosseini ◽  
Abdol Ahad Shadparvar ◽  
Alireza Seidavi ◽  
Alireza Bizhannia
Keyword(s):  
Production System ◽  
Egg Production ◽  
Selection Index ◽  
Index Selection ◽  
Genetic Trend ◽  
Index Method ◽  
Chinese Origin ◽  
Maximum Improvement ◽  
Parent Stock ◽  
High Selection

The general aim of selection in animal breeding is to acquire new generation of animals, which under future economic conditions of production system are more efficient than the present generation. In selection index method, genetic trend of important traits is directed based on their weights in economic efficiency of production system to acquire maximum improvement in economic merit (Mirhosseini et al., 2005). Silkworm commercial egg is produced by crossing between Japanese and Chinese origin parent stocks. There are three steps in the cycle of egg production including GGP (great grand parent), GP (grand parent) and P (parent stock). Breeding programs along with high selection pressure are used only in GGP lines which are typically much smaller in size than other stocks. The objective of this study was to evaluate effect of six generations of index selection in the GGP lines on performance of commercial silkworm hybrids.

scholarly journals A Reliable Turning Process by the Early Use of a Deep Simulation Model at Several Manufacturing Stages

2017 ◽  
Author(s):  
Gorka Urbikain ◽  
Luis Norberto López De Lacalle ◽  
Miguel A. Alonso ◽  
Mikel Arsuaga ◽  
Alvaro Alvarez
Keyword(s):  
Tool Path ◽  
Machining Process ◽  
Manufacturing Companies ◽  
Knowledge Based ◽  
Direct Benefits ◽  
Vibration Problems ◽  
Definition Of ◽  
The Right ◽  
Physical Laws ◽  
Manufacturing Problems

The next future using machine tools will be dominated by highly flexible and interconnected systems, in order to achieve the required productivity, accuracy and reliability. Nowadays, distortion and vibration problems are easily solved for the most common cases by sing models based on equations describing the physical laws dominating the machining process; however additional efforts are needed to overcome the gap between scientific research and the real manufacturing problems. In fact, there is an increasing interest in developing simulation packages based on “deep knowledge and models” that aid the machine designer, the production engineer, or machinists to get the best of their machines. This article proposes a systematic methodology to reduce problems in machining by means of a simulation utility, which recognizes, collects and uses the main variables of the system/process as input data, and generates objective results that help in the proper decision-making. Direct benefits by such an application are found in a) the fixture/clamping optimal design, b) the machine tool configuration, c) the definition of chatter free optimum cutting conditions and the right programming of cutting tool path at the Computer Aided Manufacturing (CAM) stage. The information and knowledge-based approach showed successful results in several local manufacturing companies.

scholarly journals Implementasi Algoritma Wagner-Within pada Manajemen Inventori di PT X

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Puspandam Katias ◽  
Achmad Affandi
Keyword(s):  
Production System ◽  
Manufacturing Industry ◽  
Raw Materials ◽  
Raw Material ◽  
Efficient Production ◽  
Manufacturing Companies ◽  
Inventory Cost ◽  
Qualitative Descriptive ◽  
Total Inventory ◽  
Supporting Material

The increasing competition in the manufacturing industry caused increasing inconsumer demand of the quality and quantity of a good product. Therefore, manufacturing companies must have reliable services, policies and product qualities to satisfy its customers. So it needs to be supported by efficient production system and inventory system. To able to create an efficient production system then need a good raw material inventory planning. This research aims to compere how efficiently in planning raw materials inventory between Wagner-Within Algorithm with the actual concept that applied to PT X, Sidoarjo. The methodology of this research is qualitative descriptive research. The findings this research is engaged in packaging (woven bag and jumbo bag) with main raw materials such as plastic ore and supporting material in inner, thread, additive, and pigment. Based on the result of the analysis is known that the actual concept of the company gives the total inventory cost IDR 3.151.000.000 with the frequency of ordering 12 times while WagnerWithin Algorithm method provides a more efficient total inventory cost of Rp. 2.685.821.101 with8 times the frequency of ordering and can savings of 14.8% of total raw material inventory cost.

scholarly journals A Reliable Turning Process by the Early Use of a Deep Simulation Model at Several Manufacturing Stages

2016 ◽  
Author(s):  
Gorka Urbikain ◽  
Luis Norberto López De Lacalle ◽  
Miguel A. Alonso ◽  
Mikel Arsuaga ◽  
Alvaro Alvarez
Keyword(s):  
Tool Path ◽  
Machining Process ◽  
Manufacturing Companies ◽  
Knowledge Based ◽  
Direct Benefits ◽  
Vibration Problems ◽  
Definition Of ◽  
The Right ◽  
Physical Laws ◽  
Manufacturing Problems

The next future using machine tools will be dominated by highly flexible and interconnected systems, in order to achieve the required productivity, accuracy and reliability. Nowadays, distortion and vibration problems are easily solved for the most common cases by sing models based on equations describing the physical laws dominating the machining process; however additional efforts are needed to overcome the gap between scientific research and the real manufacturing problems. In fact, there is an increasing interest in developing simulation packages based on “deep knowledge and models” that aid the machine designer, the production engineer, or machinists to get the best of their machines. This article proposes a systematic methodology to reduce problems in machining by means of a simulation utility, which recognizes, collects and uses the main variables of the system/process as input data, and generates objective results that help in the proper decision-making. Direct benefits by such an application are found in a) the fixture/clamping optimal design, b) the machine tool configuration, c) the definition of chatter free optimum cutting conditions and the right programming of cutting tool path at the Computer Aided Manufacturing (CAM) stage. The information and knowledge-based approach showed successful results in several local manufacturing companies.

scholarly journals Reactive Production Control - Information to Control a Production

2017 ◽  
Vol 869 ◽  
pp. 151-158
Author(s):  
Georg Kasakow ◽  
Jan Christian Aurich
Keyword(s):  
Production System ◽  
Production Control ◽  
Relevant Information ◽  
High Wage ◽  
Manufacturing Companies ◽  
System Planning ◽  
Control Information ◽  
Market Turbulence ◽  
Sustainable Protection ◽  
A Company

Sustainable protection and expansion of the competitiveness of the industrial location Germany is an important topic of current research. How can manufacturing companies in high wage countries counter the challenges of market turbulences? Crucial for the competitiveness of these companies is the compensation of wage and salary costs through highly efficient processes. A promising approach is to increase the responsiveness of a company. Responsiveness means, to react as quickly as possible to events or changes of the market, which are not yet evident and can not be foreseen at the time of production system planning. An increase of responsiveness enables companies to react quickly and flexible to market turbulences. The question arises, which market information are relevant, to which a company has to react as quickly as possible in order to handle market turbulence. This paper addresses this issue and identifies relevant information, that are already known during the phase of product development, and the unknown information of the market, to which an existing production system has to react in order to compensate market turbulences. The interplay of known and unknown information enables a responsive production control. The origin and usage of this information, which enables reactive production control, are a part of this article and are explained therein.

scholarly journals Generic Production System Model of Personalized Production

2019 ◽  
Vol 301 ◽  
pp. 00019 ◽  
Author(s):  
Petra Foith-Förster ◽  
Thomas Bauernhansl
Keyword(s):  
Production System ◽  
Design Theory ◽  
High Efficiency ◽  
Axiomatic Design ◽  
Product Variety ◽  
System Structure ◽  
Generic Model ◽  
Static System ◽  
Manufacturing Companies ◽  
Axiomatic Design Theory

Manufacturing companies are operating in a turbulent business ecosystem that calls for product variety, product mix flexibility, volume scalability and high efficiency. Personalized production arises as new production paradigm to replace mass personalization. The paper proposes a generic model for the design of production systems for the paradigm of personalized production. The model applies the system design methodology Axiomatic Design and uses the notation of Axiomatic Design Theory for Systems combined with the product precedence graph for product structure modeling. The model represents the static system structure, decomposed into its subsystems, and explains the dynamic behavior of the system during operation, depending on the product’s architecture. It is intended as a reference model for production system planning.

scholarly journals Lean Transformation Sustainability Models

2020 ◽  
Vol 6 (2) ◽  
pp. 1
Author(s):  
Azim Azuan Osman ◽  
Rusalbiah Che Mamat ◽  
Mazita Mat Ali
Keyword(s):  
Production System ◽  
Business Performance ◽  
Assessment Model ◽  
Bibliographic Databases ◽  
Future Research ◽  
Manufacturing Companies ◽  
Lean Transformation ◽  
High Participation ◽  
Ultimate Result ◽  
Standard Set

Tranformation from conventional production system to lean production system has helped many manufacturing companies to reduce cost and ultimately improve their business performance. Unfortunately, there were also many reported cases where manufacturers failed to sustain the transformation until they achieve the ultimate result. Therefore, this article aimed to review existing Lean Transformation Sustainability (LTS) models that might help scholars and practitioners gain better insights on how to sustain lean transformation. This article compiled 37 LTS models through assistance of online bibliographic databases. The review study found that many researchers have proposed original models which involved high participation of practitioners and to some extent consultants in the development of LTS models. It was also found that a huge number of inconsistent elements were used to propose the LTS models. The study findings provided direction towards future research opportunities such as the development of LTS assessment model that encompassed standard set of elements for generalisation.

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