The application of machine vision to packaging and product conformity in the manufacturing sector

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multifeedback model for energysaving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

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INTELLECTUAL CAPITAL, COMPETITIVE ADVANTAGE (EVIDENCE FROM INDONESIA’S MANUFACTURING SECTOR)

Research In Management and Accounting ◽

10.33508/rima.v3i1.2743 ◽

2020 ◽

Vol 3 (1) ◽

pp. 1-11

Author(s):

Louis Waluyo ◽

◽

Luky Patricia Widianingsih ◽

Keyword(s):

Competitive Advantage ◽

Intellectual Capital ◽

Manufacturing Sector

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A Case Study on the Un-Used Capacity Assessment Using Time Driven Activity Based Costing for Magnetic Components

International Journal of Industrial Management ◽

10.15282/ijim.6.1.2020.5410 ◽

2020 ◽

Vol 6 (1) ◽

pp. 18-39

Author(s):

Areena Zaini ◽

Haryantie Kamil ◽

Mohd Yazid Abu

Keyword(s):

Historical Data ◽

Manufacturing Sector ◽

Type I ◽

Activity Based Costing ◽

Cost Rate ◽

Continuous Innovation ◽

Magnetic Components ◽

Alignment Process ◽

Capacity Cost

The Electrical & Electronic (E&E) company is one of Malaysia’s leading industries that has 24.5% in manufacturing sector production. With a continuous innovation of E&E company, the current costing being used is hardly to access the complete activities with variations required for each workstation to measure the un-used capacity in term of resources and cost. The objective of this work is to develop a new costing structure using time-driven activity-based costing (TDABC) at . This data collection was obtained at E&E company located at Kuantan, Pahang that focusing on magnetic component. The historical data was considered in 2018. TDABC is used to measure the un-used capacity by constructing the time equation and capacity cost rate. This work found three conditions of un-used capacity. Type I is pessimistic situation whereby according to winding toroid core, the un-used capacity of time and cost are -14820 hours and -MYR2.60 respectively. It means the system must sacrifice the time and cost more than actual apportionment. Type II is most likely situation whereby according to assembly process, the un-used capacity of time and cost are 7400 hours and MYR201575.45 respectively. It means the system minimize the time and cost which close to fully utilize from the actual apportionment. Type III is optimistic situation whereby according to alignment process, the un-used capacity of time and cost are 4120 hours and MYR289217.15 respectively. It means the system used small amount of cost and time from the actual apportionment.

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