Evaluation of existing earthquake prediction for lead time parameter using geomagnetic anomaly (case study: Sumatra region and its vicinity)

Batch processes includes paint manufacturing, food processing, pharmaceutical industry, etc. The paper focuses on the process of paint manufacturing. The main contribution is the design of the current value stream mapping, very useful to understand the causes of waste and lead-time. This paper points out the necessity of applying lean methods within automotive industry, sector of bumpers painting and assembly, based on a real case-study.

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Estimating Lead Time Using Machine Learning Algorithms: A Case Study by a Textile Company

10.1109/asyu52992.2021.9599012 ◽

2021 ◽

Author(s):

Ceren Atik ◽

Recen Alp Kut ◽

Safak Birol

Keyword(s):

Machine Learning ◽

Lead Time ◽

Learning Algorithms ◽

Machine Learning Algorithms

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HOME: House Of Modular Enhancement—a Tool for Modular Product Redesign

Concurrent Engineering ◽

10.1177/1063293x02010002638 ◽

2002 ◽

Vol 10 (2) ◽

pp. 153-164 ◽

Cited By ~ 23

Author(s):

J. C. Sand ◽

P. Gu ◽

G. Watson

Keyword(s):

Lead Time ◽

Modular Design ◽

Design Method ◽

Product Architecture ◽

Functional Requirements ◽

Overall Design ◽

System A ◽

Modular Product ◽

Design And Manufacturing

Product modularization aims to improve the overall design, manufacturing, operational, and post-retirement characteristics of products by designing or redesigning the product architectures. A successful modular product can assist the reconfiguration of products, while reducing the lead-time of design and manufacturing and improving the ability for upgrading, maintenance, customization and recycling. This paper presents a new modular design method called the House Of Modular Enhancement (HOME) for product redesign. Information from various aspects of the product design, including functional requirements, product architecture and life cycle requirements, is incorporated in the method to help ensure that a modularized product would achieve the objectives. The HOME method has been implemented in a software system. A case study will be presented to illustrate the HOME method and the software.

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Exploring mass customization and textile application in medical products: re-designing scoliosis brace for shorter production lead time and better quality of life

Textile Research Journal ◽

10.1177/0040517520916922 ◽

2020 ◽

Vol 90 (19-20) ◽

pp. 2304-2321

Author(s):

Olivia Ho-Yi Fung ◽

Joanne Yip ◽

Mei-Chun Cheung ◽

Kit-Lun Yick ◽

Kenny Yat-Hong Kwan ◽

...

Keyword(s):

Quality Of Life ◽

Patient Compliance ◽

Mass Customization ◽

Lead Time ◽

Interface Pressure ◽

Negative Impacts ◽

Exerted Pressure ◽

The Impact

Bracing is the most common non-operative treatment option for patients with adolescent idiopathic scoliosis (AIS). However, existing brace designs have deficiencies, including a long production lead time and low patient compliance caused by the negative impacts of bracing on quality of life (QoL). The aim of this study was to address these problems by developing a new textile-based scoliosis brace in accordance with the biomechanics used in the existing braces for spinal correction. A case study of interface pressure had been carried out to determine the optimum combination of pads to be used in the proposed brace to correct a scoliotic spine. AIS patients who were undergoing hard brace treatment were recruited to complete a questionnaire (BrQ) on hard braces and on the proposed brace. The BrQ scores of the two types of braces were compared to assess their respective impacts on the QoL. The findings show that the proposed brace can address the issue of patient compliance by reducing the impact of bracing on QoL, and shorten the production lead time through incorporation of the mass customization concept into the design. Similar to most of the commonly-used scoliosis braces, the selected combination of pads used in the proposed brace for spinal correction shows a sufficient amount of exerted pressure and a similar function of active spinal correction.

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Earthquake prediction from high frequency groundwater level data: A case study from Gujarat, India

HydroResearch ◽

10.1016/j.hydres.2020.10.004 ◽

2020 ◽

Vol 3 ◽

pp. 118-123

Author(s):

M. Senthilkumar ◽

D. Gnanasundar ◽

B. Mohapatra ◽

A.K. Jain ◽

Anoop Nagar ◽

...

Keyword(s):

Earthquake Prediction ◽

Groundwater Level ◽

High Frequency ◽

Level Data

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Design Concept Generation: A Hierarchical Coevolutionary Approach

Journal of Mechanical Design ◽

10.1115/1.2757190 ◽

2006 ◽

Vol 129 (10) ◽

pp. 1012-1022 ◽

Cited By ~ 24

Author(s):

Yan Jin ◽

Wei Li

Keyword(s):

Lead Time ◽

Design Space Exploration ◽

Initial Population ◽

Concept Generation ◽

Design Problems ◽

Design Concepts ◽

Support Tools ◽

Different Levels ◽

Function Structures

As design problems become more complex and design lead time more pressing, designers need effective support tools to expand their design space exploration. In this paper, a hierarchical coevolutionary approach is proposed to support designers by automatically generating design concepts based on the designers’ inputs. The approach adopts a zigzag design process in which function structures and their corresponding solution principles coevolve in parallel across different levels of an abstraction hierarchy. A grammar-based approach is applied to decompose higher-level functions and generate an initial population of function structures. From this initial population, a coevolutionary algorithm is devised to coevolve more function structures and their corresponding solution principles. A case study of designing a mechanical personal transporter is presented to demonstrate the effectiveness and features of the proposed approach.

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PENDAPATAN USAHA DAN PERSEDIAAN BAHAN BAKU INDUSTRI BAWANG GORENG (Studi Kasus Industri Bawang Goreng “Uda Saprudin”)

AGRIBUSINESS JOURNAL ◽

10.15408/aj.v13i2.13946 ◽

2020 ◽

Vol 13 (2) ◽

pp. 8-17

Author(s):

Herlena Bidi Astuti ◽

Yesmawati Y ◽

Linda Harta ◽

Reswita R

Keyword(s):

Lead Time ◽

Raw Materials ◽

Raw Material ◽

Added Value ◽

Operating Income ◽

Inventory Costs ◽

The Past ◽

Total Inventory ◽

C Value

Processing shallots into fried onions is one of the agro-industry businesses with the main raw material of shallots. The fried onion home industry is a downstreaming of agricultural commodities by providing added value from the raw materials of shallots, in the process of production competition the industry must conduct management that will produce raw materials to ensure obtaining products. The purpose of this study was to determine the operating income of fried onions and determine the management of raw materials in the "Uda Saprudin" fried onion industry in Bengkulu City. The method used in this study is the calculation of income, R / C ratio, and management of raw materials using EOQ, Safety Stock, Reorder Points, lead time and total inventory costs. This research is a case study conducted in February 2019 with the data used is the data of the past year (2018). From the research results obtained R / C value of 1.36 and the management of raw material requirements recognized EOQ value: 6.546 Kg, Reorder Point value: 6.329 Kg / Month, lead time: 0.5 months and Total inventory costs: Rp. 163,676,047 per year.

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