Implementation of Lean Manufacturing Tools At Al-Maslamani Factory: Inventory waste reduction
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Date
2018-12-13
Authors
Adas, Ansam
Hakawati, Raghad
Thuluth, Batoul
Al Omar, Saly
Al-Abed, Fareda
Takrori, Lara
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Abstract
Al-Maslamani Brothers Company was established in 1952 by Mr. Saeed Muslamani is considered as one of the biggest trading companies in Palestine working in the field of roasting, manufacturing and packaging of different kinds of nuts and seeds in addition to importing luxury chocolates from the most well-known international vendors. The company was an extension of a previous company, which produces the finest types of sweets and oriental nuts. In 1979, the company was transformed from manufacture of sugar to the opening of new lines for the production of citrus fruits and nuts and there were signs and trade names accompanied by the name of the company, such as the trademark "Armch" and the brand "Naqarash".
The company is always interested in providing a distinctive service to the consumer by providing the highest quality products at a price that suits everyone and satisfies needs and tastes. The company has strived to create a brand name that will be the title of the products and services offered by the company, locally. Nevertheless, the company encounters many yield losses in many production processes resulting in significant amounts of wastes in raw materials, work in process and finished products. More specifically, such wastes could be reflected into one or more than the well-known seven wastes-TIMWOOD (transpiration, inventory, motion, waiting, over processing, over production and defects) which are apparently generated in the industry.
The current project aims are applying a set of lean manufacturing techniques in Al-Maslamani Company for the ultimate goal of reducing and/or eliminating the generated wastes in the pertinent production and inventory departments of the company. The Define-Measure-Analyze-Improve-Control (DMIAC) problem solving methodology is employed in this project. Specifically, the project starts with wastes identification and quantification using live or historical data. Then, the potential root-causes of the identified wastes are sought for identification using the quality management tools (including but not limited to run charts, histograms, Pareto charts, control charts, cause and effect diagram, scatter diagram, check sheets and defects concentration diagrams). Performance before and after waste reductions will be measured to ensure permanent realization of improvements.