ANALISA PENERAPAN LEAN WAREHOUSE DAN 5S+SAFETY DI GUDANG PT. NICHIRIN INDONESIA

Abstract—The company has a problem in warehouse layout arrangement so it will cause some kind of waste in the warehouse such as long searching time when searching spare parts in warehouse, transportation time when bringing material to warehouse or from warehouse to outside warehouse and transportation time at time of arrangement of material to storage shelf. Besides the problem that is noticed is the handling of discontinue material and the completeness of safety for warehouse operators. The purpose of this study can know the whole activity and the kinds of waste that occurred, so that can be done to the improvement of activity in the storage. The method used in measurement using fishbone diagram, and use Tools 5S + Safety. Based on the calculation that utility use of warehouse space owned raw material PT. Nichirin Indonesia is close to 70%. Layout raw material for now 77% of raw material is already used for material storage. After the layout improvements, the utility of raw material usage is reduced to 37.11%. various wastes that occur among others, Waiting time on goods delivery activities from suppliers, Transportation time on activities to bring goods from outside to the receiving area, Waiting time because the material must wait arranged by the admin / operator who works, Transportation time at the time of setting goods to shelf and Searching time on activities to find material for production needs. To reduce the waste that occurred among others, Add material handling in the form of trolley goods and ladder to shorten the transportation time, Make changes to warehouse layout and Provide labeling / coding on each area of the material rackKeywords: Waste; Layout raw material; Fishbone diagram; Tools 5S + Safety

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MINIMIZATION OF TOTAL WAITING TIME OF J0BS IN SPECIALLY STRUCTURED TWO STAGE FLOWSHOP SCHEDULING INCLUDING TRANSPORTATION TIME WITH DISJOINT JOB BLOCK CRITERIA

Advances in Mathematics: Scientific Journal ◽

10.37418/amsj.9.3.32 ◽

2020 ◽

Vol 9 (3) ◽

pp. 1071-1083

Author(s):

D. Gupta ◽

Vandana ◽

M. Kaur

Keyword(s):

Waiting Time ◽

Flowshop Scheduling ◽

Two Stage ◽

Transportation Time

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The Study on Production Performances of Part Transporter in Flexible Manufacturing System by Using Simulation Method

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.576.714 ◽

2012 ◽

Vol 576 ◽

pp. 714-717

Author(s):

Mohammad Iqbal ◽

Muhammad Ridwan Andi Purnomo ◽

Muhammad Ammar Bin Mohd Imra ◽

Mohamed Konneh ◽

A.N. Mustafizul Karim

Keyword(s):

Waiting Time ◽

Flexible Manufacturing ◽

Material Handling ◽

Manufacturing System ◽

Flexible Manufacturing System ◽

Arrival Rate ◽

Simulation Method ◽

Simulation Software ◽

Average Waiting Time ◽

Processing Times

Material handling is one of major components in Flexible Manufacturing System (FMS). Any improvement of material handling capability is to affect the performance of the whole system. This paper discusses the simulation study on the effect of part arrival rate and dispatching rules to the average waiting time and production rate of the FMS. The facilities of the system were modeled into simulation environment by using Arena Simulation Software. The production parameters such as machine processing times, part transportation speed and type of products were put into the model to represent the behaviors of the real system. Two rules have been considered in the study, i. e. first come first served (FCFS), and shortest processing time (SPT). Average waiting time and productivity were taken into account as performance measures of the system. The result of the study showed that SPT rule gives shorter average waiting time and higher productivity. Based on this result, the SPT rules would be used to control part transporter in order to have a better performance of the FMS.

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Design of Rotary Extrusion Process Using Simulation Techniques to Save Raw Material in Hollow Components

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.651-653.254 ◽

2015 ◽

Vol 651-653 ◽

pp. 254-259

Author(s):

Ángela Mangas ◽

Maite Santos ◽

Jose Ignacio Zarazua ◽

Iñaki Pérez

Keyword(s):

Process Design ◽

Metal Forming ◽

Metal Cutting ◽

Raw Material ◽

Experimental Unit ◽

Process Time ◽

Deep Drilling ◽

Flow Forming ◽

Alternative Technology ◽

Material Usage

The forging process plays an important role in the automotive industry thanks to the good mechanical properties of the forged parts. Nowadays, due to the European policy of increasing efficiency in raw material and energy usage, the metal forming sector is demanding new innovative technologies. In this context, rotary extrusion technology is a very promising metal forming alternative to the drilling techniques after forging processes.The presented work is focused on hollow shafts that are usually manufactured using a combination of forming and metal cutting techniques. Deep drilling is the most common technique to obtain internal holes in the automotive hollow parts, but it is an expensive process in terms of material usage. In this framework, rotary extrusion appears as an alternative technology that leads to the reduction of material usage and process time. The tubular shape is formed with the combination of two forming processes: flow forming and backward extrusion.This paper presents the development of a simulation methodology, the process design for a hollow part, the specifications of the experimental unit, and the manufactured prototypes in order to validate the simulation model. Also the incremental process is improved thanks to a sensitivity study of the rollers geometry. Rotary extrusion experiments are done using a modified flow forming machine and 20% material saving is achieved when obtaining the deep hole in comparison to the current deep drilling technology. The process design and numerical model tasks carried out try to provide the industry manufacturers an alternative technology to drilled parts considering the advantages of rotary extrusion parts.

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SUPPLY CHAIN MANAGEMENT INDUSTRY TANNERY IN GARUT INDONESIA

Review of Behavioral Aspect in Organizations and Society ◽

10.32770/rbaos.vol11-8 ◽

2019 ◽

Vol 1 (1) ◽

pp. 1-8

Author(s):

Yusuf Tojiri ◽

Imas Komariyah

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Customer Value ◽

Qualitative Method ◽

Single Case ◽

Spare Parts ◽

Raw Material ◽

Chain Management ◽

Depth Interviews

This research was conducted in the Tannery Industry in Garut – Indonesia, about suplly chain management, research methods using qualitative method, with a single case study. In this case study researchers collecting data through observation, interviews and in-depth interviews with entrepreneurs, academics and expert tannery. Supply Chain Management, in this case, describe the process of delivery of the goods from the supplier, and then processed by the industry, the result posted by the distributor to the subscriber. The Supply Chain Management must provide a level of efficiency in the process of delivering customer value, so that customers can be more satisfied, or in other words from the center (supplier), Company, Chanels (distribution) and Customer (4C). Supply Chain Management will be effective in improving the competitiveness of the industry, either by the supplier of the raw material leather, leather chemicals, leather production machinery, spare parts, and also any other relevant parties if able to improve cooperation between the core industry, supporting industry, and related industry is strong, so each others corroborate (linkage), as well as the distribution of goods to the customer must be of high quality and on time.

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Computer Vision-Based Non-Magnetic Object Detection on Moving Conveyors in Steel Industry through Differential Techniques and Performance Evaluation

Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies - Advances in Computational Intelligence and Robotics ◽

10.4018/978-1-4666-6030-4.ch014 ◽

2014 ◽

pp. 247-261

Author(s):

K. C. Manjunatha ◽

H. S. Mohana ◽

P. A. Vijaya

Keyword(s):

Object Detection ◽

Steel Industry ◽

Material Handling ◽

Raw Materials ◽

Industrial Applications ◽

Raw Material ◽

Smart Control ◽

Image Pixels ◽

And Performance ◽

Video Input

Intelligent process control technology in various manufacturing industries is important. Vision-based non-magnetic object detection on moving conveyor in the steel industry will play a vital role for intelligent processes and raw material handling. This chapter presents an approach for a vision-based system that performs the detection of non-magnetic objects on raw material moving conveyor in a secondary steel-making industry. At single camera level, a vision-based differential algorithm is applied to recognize an object. Image pixels-based differential techniques, optical flow, and motion-based segmentations are used for traffic parameters extraction; the proposed approach extends those futures into industrial applications. The authors implement a smart control system, since they can save the energy and control unnecessary breakdowns in a robust manner. The technique developed for non-magnetic object detection has a single static background. Establishing background and background subtraction from continuous video input frames forms the basis. Detection of non-magnetic materials, which are moving with raw materials, and taking immediate action at the same stage as the material handling system will avoid the breakdowns or power wastage. The authors achieve accuracy up to 95% with the computational time of not more than 1.5 seconds for complete system execution.

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Computer Vision-Based Non-Magnetic Object Detection on Moving Conveyors in Steel Industry Through Differential Techniques and Performance Evaluation

Computer Vision ◽

10.4018/978-1-5225-5204-8.ch077 ◽

2018 ◽

pp. 1820-1837

Author(s):

K. C. Manjunatha ◽

H. S. Mohana ◽

P. A. Vijaya

Keyword(s):

Object Detection ◽

Steel Industry ◽

Material Handling ◽

Raw Materials ◽

Industrial Applications ◽

Raw Material ◽

Smart Control ◽

Image Pixels ◽

And Performance ◽

Video Input

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Machine Vision Based Non-Magnetic Object Detection and Removal on Moving Conveyors in Steel Industry through Differential Techniques

International Journal of Computer Vision and Image Processing ◽

10.4018/ijcvip.2012070105 ◽

2012 ◽

Vol 2 (3) ◽

pp. 59-70

Author(s):

K. C. Manjunatha ◽

H. S. Mohana ◽

P. A. Vijaya

Keyword(s):

Object Detection ◽

Steel Industry ◽

Material Handling ◽

Raw Materials ◽

Industrial Applications ◽

Vital Role ◽

Raw Material ◽

Computational Time ◽

Video Input ◽

Intelligent Process

Intelligent process control technology in various manufacturing industries is important. Vision based non-magnetic object detection on moving conveyor in the steel industry will play a vital role for intelligent process and raw material handling. This paper presents an approach for a vision based system which performs the detection of non-magnetic objects on raw material moving conveyor in a secondary steel making industry. At single camera level, a vision based differential algorithm is applied to recognize an object. Image pixels based differential techniques; optical flow and motion based segmentations are used for traffic parameters extraction, the proposed approach extends those futures into industrial applications. The authors can implement smart control system, since they can save the energy and control unnecessary breakdowns in a robust manner. The technique developed for non-magnetic object detection is having single static background. Establishing background and background subtraction from continuous video input frames forms the basis. Detection of non-magnetic materials which are moving with raw materials and taking immediate action at the same stage as material handling system will avoid the breakdowns or power wastage. The authors achieve accuracy up to 95% with the computational time of not more than 1.5 seconds for complete system execution.

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Multi-item spare parts systems with lateral transshipments and waiting time constraints

European Journal of Operational Research ◽

10.1016/j.ejor.2005.01.018 ◽

2006 ◽

Vol 171 (3) ◽

pp. 1071-1093 ◽

Cited By ~ 87

Author(s):

H. Wong ◽

G.J. van Houtum ◽

D. Cattrysse ◽

D. Van Oudheusden

Keyword(s):

Waiting Time ◽

Spare Parts ◽

Time Constraints

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Method of Grouping and Cutting Pattern of Cutting Problem of Two-Dimensional Plate

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.462.194 ◽

2012 ◽

Vol 462 ◽

pp. 194-198

Author(s):

Xue Shao Qiu ◽

Yin He Zhang ◽

Jie Yun Wu ◽

Xue Man Ma

Keyword(s):

Integer Programming ◽

Programming Model ◽

Glass Plate ◽

Time Algorithm ◽

Raw Material ◽

Two Dimensional ◽

Material Usage ◽

Cutting Pattern ◽

Specific Implementation ◽

Pattern Problem

Through a case of glass plate cutting, two-dimensional cutting pattern problem of rectangular blanks is discussed. The raw material is cut and layout by applying the method of grouping and two-stage cutting pattern types. Here first all the blanks are divided into different groups based on certain requirement, and then two-dimensional cutting pattern problem is transformed into two one-dimensional cutting problems. Through constructing an integer programming model, the cutting program of the raw material can be obtained step by step by calculating in LINGO. Because here the precise algorithm of integer programming is applied, which is not the time algorithm of polynomial, in the specific implementation, there shouldn’t be more variables, so all the data should be divided into different groups to calculate. In each group, there should be no more than 6 blanks, which are grouped according to their size. This algorithm is simple and easy to operate with a high material usage.

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