Minimization of inspection cost by determining the optimal number of quality inspectors in the garment industry

This study has been aimed at developing a model to reduce inspection cost by determining the optimum number of quality inspectors with respect to their skill levels using goal programming. A mathematical model is proposed to find out the optimal combination of decision variables. It is concluded that inspection cost may be reduced by optimising the skill level of the quality inspectors

productivity improvement through time study approach a case study from an apparel manufacturing industry of pakistan

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Evaluation of Lumber Spine Stenosis on Magnetic Resonance Imaging Correlating with Its Clinical Manifestation

Lumber spine stenosis (LSS) is one of the major reasons of spinal surgery all over the globe. Despite using standard Diagnostic tools for LSS, the clinical and imaging findings often do not correlate. Over past years, the central spinal canal stenosis is assumed to be the diagnoses of lower back pain, while other anatomical stenosis (i.e lateral recess stenosis) not gaining as much attention. This fact assumed to be the reason for failed back surgery. In this context numerous studies in past have done. The aim of this study is to verify the clinical manifestation of LSS correlation to its Diagnostic find. To evaluate the lumbar spine stenosis on magnetic resonance imaging & correlating with its clinical manifestations. The duration of study was three months. Study was done at Lahore General Hospital, Pakistan. A cross-sectional analytical study included 120 patients. According our study the patients comes with lumber spine stenosis at different levels. At L4L5 presents 39 (32.5%) patients, 47(39.2%) patients reveal at the level of L5S1, 14 (11.7%) patients at L2L3, and only 3 (2.5%) patients appear at the level of L1L2, 19 (15.8%) patients show stenosis at L3L4 Then we correlate the pain intensity with all lumber spine levels and the results are 35 (29.2%) patients are absent and 85 (70.8%) presents at the level of L4L5. On the level of L5S1 pain intensity is absent in 81 (67.5%) patients, & present in 39 (32.5) patients. On the level of L2L3 106 (83.5%) absent and 14 (11.7%) patients are present pain intensity.  On the level of L1L2 117 (97.5%) absent of pain intensity and only 3 (2.5%) patients are present with pain intensity. The study concluded that the clinical manifestation of lumber spine stenosis to devise the management plan for the patient for better diagnoses in magnetic resonance imaging in LSS. Keywords: Lumber spine stenosis, manifestation, MRI DOI: 10.7176/JHMN/90-10 Publication date:June 30th 202

Minimization of inspection cost by determining the optimal number of quality inspectors in the garment industry

346-350This study has been aimed at developing a model to reduce inspection cost by determining the optimum number of quality inspectors with respect to their skill levels using goal programming. A mathematical model is proposed to find out the optimal combination of decision variables. It is concluded that inspection cost may be reduced by optimising the skill level of the quality inspectors

Opracowanie modelu oceny kompetencji do pomiaru umiejętności inspekcji wizualnej wykonywanej przez człowieka

Extensive research has already been done on visual inspection as well as on the effect of different factors on human inspection performance. However, a method should be developed to measure their inspection skill based on influencing factors. This study contributes to the literature by proposing a competency assessment model based on the influencing factors that can classify human labour into its respective skill levels. From the literature review, the influencing factors of visual inspection are listed and divided into five observed variables. A team of experts selected the significant factors with respect to the textile and clothing industry. The analytical hierarchy process is used to measure their respective weights so as to calculate the inspection performance in terms of a competency score. A numerical example is presented and the model proposed successfully determined the competency score, and inspectors are classified into their respective skill levels according to the well-defined cut-off values. This study enables organisations to classify available human labour into its skill levels and utilise them according to their capacity.Dotychczas przeprowadzono szeroko zakrojone badania dotyczące inspekcji wizualnej, a także wpływu różnych czynników na wyniki inspekcji wykonywanej przez człowieka. W pracy skupiono się na opracowaniu metody pomiaru umiejętności inspekcji w oparciu o czynniki na nie wpływające. Praca wnosi wkład do literatury, proponując model oceny kompetencji oparty na czynnikach wpływających, które mogą sklasyfikować ludzką pracę według odpowiednich poziomów umiejętności. Na podstawie przeglądu literatury wyszczególniono czynniki wpływające na kontrolę wzrokową i podzielono je na pięć obserwowanych zmiennych. Zespół ekspertów wybrał istotne czynniki w branży tekstylno-odzieżowej. Proces hierarchii analitycznej posłużył do pomiaru ich odpowiednich wag, w celu obliczenia wyników inspekcji w kategoriach oceny kompetencji. Przedstawiono przykład liczbowy, a zaproponowany model z powodzeniem określił punktację kompetencji, tak aby inspektorzy mogli być klasyfikowani według ich odpowiednich poziomów umiejętności zgodnie z dobrze określonymi wartościami granicznymi. Badanie umożliwiło organizacjom klasyfikowanie dostępnej siły roboczej według poziomów umiejętności i wykorzystywanie jej zgodnie z ich możliwościami

Food Preservation within Multi-Echelon Supply Chain Considering Single Setup and Multi-Deliveries of Unequal Lot Size

Intricacy of the supply chains for deteriorating products, involving multiple retailers with unequal lot sizes and multiple deliveries is simplified in this article by optimizing the replenishment cycle, investment in preservation technology, and number of deliveries. This study proposes a multi-tier supply chain model consisting of a single manufacturer and multiple retailers. A single-setup multiple deliveries (SSMD) policy is adopted considering the synchronized cycle time of manufacturers with that of retailers and the delivery of unequal lot size for each retailer. Preservation technology is used at retailers to minimize the effects of deterioration in a way that the magnitude of decrease in deterioration reduces for additional investment in preservation technology. A centralized supply chain model is proposed by defining a nonlinear mathematical model for maximizing total profit through an analytical optimization technique and an algorithm. Numerical experiments are exhibited to validate the applications of the provided model. The results exhibit that the proposed preservation policy increases the product’s lifetime and the total profit by reducing the number of shipments/transportation and increasing the lot size. The SSMD policy helps to reduce the preservation cost and increase the total profit. Some managerial insights are provided for the decision makers for applying the proposed model

A review paper on offline inspection of finished and semi-finished products and emerging research directions

Organizations want to focus on product quality along with productivity to get their competitive advantage in global market. In order to achieve this aim, quality management system and its different aspects are becoming more valuable than before. This study has considered quality control and its activities with specific focus on offline inspection. The objective of this study is to provide a literature review that identifies different models and methodologies, developed for offline inspection under different manufacturing and inspection conditions. This review is based on research work accepted by international journals and published in the years from 2000 to 2016. These studies are classified into six groups on the basis of their research objectives, model developed, adopted methodologies, and research outcomes. This review paper also gives а brief look at the offline inspection to propose future research opportunities and emerging trends. The proposed research directions can be helpful in developing new models or modifying the existing models to improve the performance of offline inspection

A robust possibilistic flexible programming approach toward a resilient and cost-efficient biodiesel supply chain network

Increasing energy demand and the fast depletion of fossil fuels have prompted the quest for sustainable energy sources. Biodiesel is a potential fossil fuel replacement that can be used in engines without modification. However, the commercial feasibility of biodiesel production is a major challenge. A resilient and cost-efficient biodiesel supply chain network is essential for commercialization. In addition, disruption risks arising from operational downtime, labor strikes, natural disasters, and uncertainty embedded in the data compromise the effectiveness of tactical and strategic level supply chain planning. In line with these requirements, an animal fat-based biodiesel supply chain model that reduces the total system cost and accounts for both disruption and operational risks is proposed. The proposed model determines the optimal production–distribution quantities and supports facility location and capacity decisions against multiple supply and demand interruption scenarios. A novel interactive solution technique, robust possibilistic flexible programming, which enables decision-makers to incorporate flexibility into model constraints, has been introduced. Furthermore, a p-measure constraint that ensures the lowest cost under disruption scenarios is used to control network reliability. A real-world case study is used to assess the suggested model and solution technique's applicability. The findings demonstrate a tradeoff between system reliability and nominal cost, showing that with a marginal increase in overall cost, the decisions can be secured against an uncertain environment. Biodiesel producers and distributors, as well as investors and regulators, may potentially benefit from the proposed model.</p

Interactive Fuzzy Multi Criteria Decision Making Approach for Supplier Selection and Order Allocation in a Resilient Supply Chain

Modern supply chains are vulnerable to high impact, low probability disruption risks. A supply chain usually operates in such a network of entities where the resilience of one supplier is critical to overall supply chain resilience. Therefore, resilient planning is a key strategic requirement in supplier selection decisions for a competitive supply chain. The aim of this research is to develop quantitative resilient criteria for supplier selection and order allocation in a fuzzy environment. To serve the purpose, a possibilistic fuzzy multi-objective approach was proposed and an interactive fuzzy optimization solution methodology was developed. Using the proposed approach, organizations can tradeoff between cost and resilience in supply networks. The approach is illustrated using a supply chain case from a garments manufacturing company