Lean Manufacturing Case Study with Kanban System Implementation

Rahman, Norazah Abd; Sharif, Sariwati Mohd; Esa, Mashitah Mohamed

doi:10.1016/s2212-5671(13)00232-3

Cited by 144 publications

(87 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To solve the issues of inventory, overproduction and unfinished goods being transported in unsuitable cardboard boxes, it was proposed that the case study industrial plant could utilize the Kanban system to control inventory through the production line which was discussed in the literature review section. The Kanban system is proven to reduce waste and optimize operational cost in a Malaysian SME in the publication Lean Manufacturing Case Study with Kanban System Implementation [13].…”

Section: Fig 4 Improved Layouts For Aerosol Production Linementioning

confidence: 99%

The Productivity Performance's Measurement in SME Industry by using DMAIC of Six Sigma

Syaifoelida*,

Ying

2020

IJITEE

View full text Add to dashboard Cite

It is crucial that Malaysia’s Small- Medium Enterprises (SME) in the manufacturing sector could achieve desired productivity rate as this could contribute not only to the country’s Gross Domestic Product (GDP), but also could contribute to the spending power of a nation. It is important for SME manufacturers to stay ahead in the ever-competitive market to ensure their survival and provide countless jobs for the nation. The objective of this paper is to study, analyse and propose viable solutions to improve manufacturer performance in terms of productivity and quality in the manufacturing sector by using various operation management tools. Hence, one SME company was chosen by utilizing the Value Stream Mapping (VSM) in DMAIC approach to measure their productivity. The aerosol production line was study, to see the gap measurement in productivity before and after applying a systematic method in operation management. Furthermore, along with various operation management tools such as Kaizen, Kanban system and 5S, a new layout (VSM) for the production line was proposed. Result shows that the proposed new layout could reduce the distance travelled by operator by 22.26 %, at the same time will increase the productivity and quality of product. Since the overall performance of the aerosol grease production line will be improved, the waste found in the production line also will be alleviated

show abstract

Section: Fig 4 Improved Layouts For Aerosol Production Linementioning

confidence: 99%

The Productivity Performance's Measurement in SME Industry by using DMAIC of Six Sigma

Syaifoelida*,

Ying

2020

IJITEE

View full text Add to dashboard Cite

show abstract

“…It represents one of the manufacturing strategies and tools in Lean manufacturing systems where it may control the levels of buffer inventories in the system to regulate production. When a buffer reaches its preset maximum level, the upstream production activities are not being continued for that particular part type, that way achieving minimum inventory at any one time [20]. That is the main Kanban feature that practitioners have recognized as significant for software development.…”

Section: Kanbanmentioning

confidence: 99%

“…Furthermore, one of the most important premises of Kanban is that system requires production only when the demand of products is available. Kanban has proven to be useful and helpful tool for an organization, enabling advantages from improvement of productivity and minimization of waste [20], development of flexible work stations, to minimization of waiting time and logistics costs [19]. In other words, the idea of Kanban approach is "to use visual signals to synchronize the flow of work with process capacity, limit the waste of work interruption, minimize excess inventory or delay due to shortage, prevent unnecessary rework, and provide a means of tracking work progress".…”

Section: Kanbanmentioning

confidence: 99%

Enhancing the Agility and Performances of a Project with Lean Manufacturing Practices

Cvetkovic¹,

Morača²,

Jovanovic³

et al. 2017

DAAAM Proceedings

View full text Add to dashboard Cite

“…The just-in-time production is a method where by the production lead time is greatly shortened by maintaining the conformity to changes by having "all processes produce the necessary parts at the necessary time and have on hand only the minimum stock necessary to hold the processes together". [6][7][8][9] Minimum stock or stockless working principle requires a perfect material flow on the value chain model from supplier to the assembly shop. Even with the JIT operation conditions the material flow on the value chain model made as bulk or grouped transfers due to transportation costs.…”

Section: Introductionmentioning

confidence: 99%

Routing of Mobile Resources with PSO using Chaotic Randomness (Chaotic-PSO) for Unexpected Delivery Failures in Manufacturing

Özpınar

Kucukasci

2016

Mar. J. Pure Appl. Sci.

View full text Add to dashboard Cite

Dealing with short term and long term production planning and scheduling has already been solved with different optimization and artificial methods and approaches. Under normal manufacturing conditions supply and demand progress controlled and supported by decision support systems, ERP and MRP software packages aiming maximum utilization of resources and minimizing the stocks aiming for JIT. These software packages becoming even more intelligent and proactive based on the data in the database systems. However all these systems start with initial assumption of under normal conditions of flow time ordering to delivering. In case of unplanned stops, failures, malfunctions, shortages of unplanned inventory levels alter these initial conditions and progress to a diverging outcomes and consequences. This paper aiming a dynamic allocation and routing of mobile resources in a manufacturing plant by reallocating them by using a modified Particle Swarm Optimization using Chaotic Randomness.

show abstract

Lean Manufacturing Case Study with Kanban System Implementation

Cited by 144 publications

References 8 publications

The Productivity Performance's Measurement in SME Industry by using DMAIC of Six Sigma

The Productivity Performance's Measurement in SME Industry by using DMAIC of Six Sigma

Enhancing the Agility and Performances of a Project with Lean Manufacturing Practices

Routing of Mobile Resources with PSO using Chaotic Randomness (Chaotic-PSO) for Unexpected Delivery Failures in Manufacturing

Contact Info

Product

Resources

About