Design and Optimization of Capacitated Supply Chain Networks Including Quality Measures

Castillo-Villar, Krystel K.; Smith, Neale R.; Herbert-Acero, José F.

doi:10.1155/2014/218913

Cited by 16 publications

(14 citation statements)

References 15 publications

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“…Cost of quality has also direct effect on service cost and indirect effect on Profitability (Aigbavboa & Thwala, 2014). In order to improve quality an organization must take into account the costs associated with achieving quality since the objective of continuous improvement programs is not only to meet customer requirements, but also to do it at the lowest cost (Castillo-Villar, Smith et al 2014). COQ focuses on process improvement and the elimination of all forms of waste.…”

Section: Resultsmentioning

confidence: 99%

Managing Cost of Quality in Laboratory of Water Analysis

Zahar¹,

Barkany²,

Biyaali³

2015

MAS

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Drinking water quality is of fundamental importance to human physiology and the durability of humanity. In today's environment, many laboratories of water analysis are challenged to maintain or increase their quality while simultaneously lowering their overall costs. The aim of this research is to classify and determine different quality costs in Moroccan laboratory of water analysis by implemented the Prevention-Appraisal-Failure (PAF) approach. Using data collected during six month, we found that approximately 77.9 % of total quality costs was spent on costs of "good quality" (prevention and appraisal), while 22.1 % was spent on costs of "poor quality" (internal and external failures). This is an ideal situation, prevention costs will be the largest portion of the total Cost of Quality (COQ). By minimizing delay and Claims (retest) can reduced external failure cost laboratory given weighted to customer needs because of the good quality of service. The cost of processing and correcting such errors was minimum. The fundamental point is to monitor the effects of the quality measures taken to reduce the number of failures. The article also explains the benefits of the eventual adoption of a COQ approach in laboratory, proper frame work and we propose guideline for significant and non-significant factors which should consider in laboratory of water analysis.

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Section: Resultsmentioning

confidence: 99%

Managing Cost of Quality in Laboratory of Water Analysis

Zahar¹,

Barkany²,

Biyaali³

2015

MAS

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“…Castillo-Villar et al [25][26][27] successfully integrated the cost of poor quality as an analytical expression within the supply chain modeling of manufacturing processes. No work has integrated the quality-related issues and costs within bioenergy supply chains.…”

Section: Integrated Biofuels Supply Chain Modelingmentioning

confidence: 99%

Quantifying the Impact of Feedstock Quality on the Design of Bioenergy Supply Chain Networks

2016

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Abstract:Logging residues, which refer to the unused portions of trees cut during logging, are important sources of biomass for the emerging biofuel industry and are critical feedstocks for the first-type biofuel facilities (e.g., corn-ethanol facilities). Logging residues are under-utilized sources of biomass for energetic purposes. To support the scaling-up of the bioenergy industry, it is essential to design cost-effective biofuel supply chains that not only minimize costs, but also consider the biomass quality characteristics. The biomass quality is heavily dependent upon the moisture and the ash contents. Ignoring the biomass quality characteristics and its intrinsic costs may yield substantial economic losses that will only be discovered after operations at a biorefinery have begun. This paper proposes a novel bioenergy supply chain network design model that minimizes operational costs and includes the biomass quality-related costs. The proposed model is unique in the sense that it supports decisions where quality is not unrealistically assumed to be perfect. The effectiveness of the proposed methodology is proven by assessing a case study in the state of Tennessee, USA. The results demonstrate that the ash and moisture contents of logging residues affect the performance of the supply chain (in monetary terms). Higher-than-target moisture and ash contents incur in additional quality-related costs. The quality-related costs in the optimal solution (with final ash content of 1% and final moisture of 50%) account for 27% of overall supply chain cost. Based on the numeral experimentation, the total supply chain cost increased 7%, on average, for each additional percent in the final ash content.

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“…Ramudhin et al [38] also introduced a model integrating the Cost of Quality (CoQ) into the supply chain network and found that incorporating COQ in supply chain network design will ensure the lowest overall cost, and reduce the probability of defects of approximately 16%. Castillo-Villar et al [10] developed a mathematical model incorporating CoQ in Supply Chain Network (SCN). They studied the impact of fraction defective and inspection error rate at the manufacturer on total CoQ and quality level.…”

Section: Incorporating Coq In Scndmentioning

confidence: 99%

Models for Optimization of Supply Chain Network Design Integrating the Cost of Quality: A Literature Review

Douiri¹,

Jabri²,

Barkany³

2016

AJIBM

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After focusing on Cost of Quality (CoQ), the companies must now move into integrating the CoQ into Supply Chain upstream and downstream, to address CoQ issues across Supply Chain Network Design (SCND) modeling. In this preliminary study, we propose a state of the art of the published works on models and classifications of SCND incorporating the CoQ existing in the literature. In the second part of this paper, we will present a review by studying and analyzing the application of some meta-heuristics to solve supply chain models. The reviewed meta-heuristics include: the genetic algorithm (GA), and simulated annealing (SA). Finally, we suggest directions for future research.

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Design and Optimization of Capacitated Supply Chain Networks Including Quality Measures

Cited by 16 publications

References 15 publications

Managing Cost of Quality in Laboratory of Water Analysis

Managing Cost of Quality in Laboratory of Water Analysis

Quantifying the Impact of Feedstock Quality on the Design of Bioenergy Supply Chain Networks

Models for Optimization of Supply Chain Network Design Integrating the Cost of Quality: A Literature Review

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