Analisis pengendalian kualitas produk keripik tempe Deny menggunakan pendekatan six sigma DMAIC terintegrasi fuzzy FMEA [Analysis of the quality control of Deny's tempe chips using a six sigma DMAIC-integrated fuzzy FMEA approach]

نویسندگان

چکیده

Deny Tempe Chips is one of the leading MSME chips products in Malang City. The tighter business competition encourages MSMEs to increase their competitive advantage through increasing production quality and minimizing defects. purpose study was identify analyze factors causing defects tempeh chips. research uses six sigma DMAIC (define, measure, improve, analyze, control) method with fuzzy FMEA integration. results showed that highest defect percentage as main priority for improving process (CTQ) oily tempe (82.04%). processing capability frying has a final yield value 64.87%. 1.88 very uncompetitive level required improvement. sources problems were human factors, methods, facilities. FRPN risk product limited number skilled workers affected products. corrective action strategy proposed resource planning meet needs SME workforce, including provision training, scheduling supervision, adding process.Keywords: defects, chips, method, control.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Six Sigma Methodology Utilization in Medical Transcription-A DMAIC Process to Identify Six Sigma Projects

Six-sigma is a business-driven, multi-faceted approach to process improvement, reduced costs, and increased profit. It helps to improve quality of product and cost saving. Six sigma is considered to be one of the best quality improvement methodology applied successfully to organizational areas like manufacturing, production, accounting and finance, sales and marketing, information systems, huma...

متن کامل

An analysis of the Six Sigma DMAIC method from the perspective of problem solving

The DMAIC (Define-Measure-Analyze-Improve-Control) method in Six Sigma is often described as an approach for problem solving. This paper compares critically the DMAIC method with insights from scientific theories in the field of problem solving. As a single authoritative account of the DMAIC method does not exist, the study uses a large number of sources, consisting of prescriptive accounts of ...

متن کامل

Plastic Injection Quality Controlling Using the Lean Six Sigma and FMEA Method

PT. Yogya Presisi Teknikatama Industri (PT. YPTI) is a mold, precision part, and plastic injection maker company. One of the obstacles faced by the company is the high level of nonconformity on its production results. The waste on production process can be identified and classified into four types, i.e.: a). during the process of injection molding machines, b). finishing and cutting processes, ...

متن کامل

Efficacy of fuzzy MADM approach in Six Sigma analysis phase in automotive sector

Six Sigma is a strategy for achieving process improvement and operational excellence within an organization. Decisions on critical parameter selection in analysis phase are always very crucial; it plays a primary role in successful execution of Six Sigma project and for productivity improvement in manufacturing environment and involves the imprecise, vague and uncertain information. Using a cas...

متن کامل

A New Fuzzy Method for Assessing Six Sigma Measures

Six-Sigma has some measures which measure performance characteristics related to a process. In most of the traditional methods, exact estimation is used to assess these measures and to utilize them in practice. In this paper, to estimate some of these measures, including Defects per Million Opportunities (DPMO), Defects per Opportunity (DPO), Defects per unit (DPU) and Yield, a new algorithm ba...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Jurnal Teknologi & Industri Hasil Pertanian (edisi elektronik)

سال: 2021

ISSN: ['2302-4399']

DOI: https://doi.org/10.23960/jtihp.v27i1.12-23