Temperature control in a horticultural produce supply chain in Thailand and its influence on product quality

Food Control ◽  
2022 ◽  
Vol 133 ◽  
pp. 108585
Author(s):  
Nattawut Chaomuang ◽  
Parinya Singphithak ◽  
Onrawee Laguerre ◽  
Rachit Suwapanich
Keyword(s):  
Supply Chain ◽  
Product Quality ◽  
Temperature Control

scholarly journals Supply chain resilience and industry 4.0: a evaluation of the Brazilian northeast automotive OEM scenario post COVID-19

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Milton C. Soares ◽  
Cristiano V. Ferreira ◽  
Thiago B. Murari
Keyword(s):  
Supply Chain ◽  
Product Quality ◽  
Automotive Industry ◽  
Industry 4.0 ◽  
Future Outlook ◽  
Control Plan ◽  
Quality Planning ◽  
Planning And Control ◽  
Brazilian Northeast ◽  
And Control

AbstractCOVID-19 outbreak has heavily impacted the manufacturing industry, including Brazilian Automotive Industry. The effects of COVID-19 created restrictions in several industry processes as supply chain. On the other hand, several industry 4.0 technologies is able to support the industry supply chain activities in the COVID 19 scenarios, as well it may contributed for the automotive industry recovery and it will define the next steps of this industry. A supply chain is a network between a company and its suppliers to produce and distribute a specific product to the final buyer. Industry 4.0 is related to the technology development and the digitalization process that improve significantly productivity. Considering the automotive process, an important reference model is described in Advanced Product Quality Planning and Control Plan, that is a manual that communicate the guidelines of the product quality planning and control plan for internal and external suppliers. In this scenario, this paper evaluated the current situation and the future outlook for the adoption of Industry 4.0 technologies in the automotive OEM post-pandemic scenario on the point of view of automotive specialists. The results of this research provide an overview of the current situation and the future outlook for the usage of Industry 4.0 technologies by the Brazilian Northeast automotive OEM, from the perspective of manufacturing engineering experts on APQP.

scholarly journals Inventory control in a two-level supply chain with learning, quality and inspection errors

2021 ◽  
Author(s):  
Mehmood Khan
Keyword(s):  
Supply Chain ◽  
Product Quality ◽  
Inventory Management ◽  
Human Error ◽  
Threshold Value ◽  
Process Quality ◽  
Lot Size ◽  
Defective Items ◽  
Inspection Errors ◽  
Screening Cost

A common measure of quality for a buyer or a vendor is the defect rate. Defects may represent an attribute, a dimension or a quantity. They may be classified as product quality defects or process quality defects. Product quality defects may be caused by human error which can de due to fatigue, lack of proper training, or other reasons. For example, an inspector may misclassify a defective fuel tank of a car as good. On the other hand, process quality defects maybe caused by a machine going out-of-control. While many researchers assume that the screening processes which separate the defective items are error-free, it would be realistic to consider misclassification errors in this process. Beside inspection errors, learning is another human factor that brings in enhancement in the overall performance of a supply chain. Learning is inherent when there are workers involved in a repetitive type of production process. Learning and forgetting are even more important in manufacturing environments that emphasize on flexibility where workers are cross-trained to do different tasks and where products have a short life cycle. Inventory management with learning in quality, inspection and processing time will be the focus of this thesis. A number of models will be developed for a buyer and/or a two level supply chain to incorporate these human factors. The key findings of this work may be summarized as 1. Inspection errors significantly affect the annual profit. 2. An increase in the unit screening cost reduces the annual profit to a great extent at slower rates of learning. 3. For the two-level supply chain we investigated, learning in production drops the annual cost significantly while the learning in supplier's quality results in a situation where there are no defectives from the suppliers. 4. Type II error may seem to be beneficial for a two level supply chain as the order/lot size goes down and thus affects the costs of ordering, production and screening. 5. Consignment stocking policy performs better than conventional stocking when holding costs go higher than a threshold value.

Postharvest packaging.

2021 ◽  
Author(s):  
John Golding
Keyword(s):  
Supply Chain ◽  
Product Quality ◽  
Vital Role ◽  
Cut Flowers ◽  
Essential Component ◽  
The One

Abstract Packaging is an essential component of getting horticultural produce (fruit, vegetables or cut flowers) from the farm to the consumer. Packaging allows for the ease of handling and serves a vital role to protect and maintain product quality through the supply chain. Packaging of horticultural produce can be made of a range of products such as wood, fibreboard, jute (hessian) or plastics, where each packaging type is suitable for different applications. The best packaging type is the one that meets its purpose.

Misaligned Market

2011 ◽  
pp. 441-457
Author(s):  
Ruey-Lin Hsiao
Keyword(s):  
Supply Chain ◽  
Technology Adoption ◽  
Product Quality ◽  
Free Market ◽  
Business Environment ◽  
Market Exchange ◽  
Agricultural Market ◽  
Agricultural Industry ◽  
Contextual Features ◽  
Product Specification

This article examines e-marketplace adoption difficulties from a contextualist perspective. The analysis of industrial characteristics will unearth the adopter’s supply chain practices and the contextual features which are unfavorable for e-marketplace deployment. To gain a deeper understanding, this research examines an unsuccessful e-marketplace adoption for agricultural industry in China. The tension created by the these two incongruent contexts results in a misaligned market, as a free-market principle (assumed to be an integral part of the e-marketplace) is imposed on an agricultural market exchange which is characterized by a regulated business environment and a monopolistic market, and which emphasizes variances in product quality, tacit product specification, exclusive suppliers, and spotty purchasing. Practical and theoretical implications of the findings are discussed with reference to technology adoption and technology-organization alignment literature.

Supply chain issues in SME food sector: a systematic review

2019 ◽  
Vol 17 (1) ◽  
pp. 19-65 ◽  
Author(s):  
Arun Jose ◽  
PrasannaVenkatesan Shanmugam
Keyword(s):  
Supply Chain ◽  
Product Quality ◽  
Food Supply ◽  
Food System ◽  
Ghg Emission ◽  
Major Research ◽  
Food Sector ◽  
Food Supply Chain ◽  
Content Type ◽  
Research Themes

Purpose The purpose of this paper is to investigate the significant supply chain issues in the small and medium-sized enterprise (SME) food industry. The objectives are to identify the major themes and the dynamic evolution of SME food supply chain (FSC) issues, the current research trends, the different modelling approaches used in SME FSC, and the most addressed SME food sector. Design/methodology/approach In all, 3,733 published articles from 2002 to 2018 in the Clarivate Analytics Web of Science database were collected, from which 1,091 articles were shortlisted for the review. The authors used bibliographic coupling combined with co-word analysis to identify the historical relations of the research themes that emerged during the periods 2002–2014 and 2002–2018. Findings This research identified five major research themes such as production and distribution in alternative food networks, relationship, safety and standards in the FSC, greenhouse gas (GHG) emission impact of the farm food system, traceability and product quality in FSC and asymmetric price transmission in the FSC. Among the identified themes, GHG emission impact of the farm food system and traceability and product quality in the FSC have received increasing attention in recent years. The dairy sector is the most addressed sector (36 per cent), followed by fruits and vegetables (27 per cent), meat and poultry (18 per cent), seafood (10 per cent) and grains and oilseed (8 per cent). It is also identified that the dairy sector has received significant attention in the “GHG Emission impact of farm food system” theme. Similarly, meat and poultry sectors have received much attention in the “Traceability and product quality in the food supply chain” theme. Also, the authors identified that the empirical modelling approaches are the most commonly used solution methodology, followed by the conceptual/qualitative methods in the SME FSC. Originality/value This study maps and summarizes the existing knowledge base of supply chain issues in the SME food sector. The results of this review provide the major research areas, most commonly used approaches and food sectors addressed. This study also highlights the research gaps and potential future research direction.

scholarly journals Game-Theoretic Analysis to Examine How Government Subsidy Policies Affect a Closed-Loop Supply Chain Decision

2019 ◽  
Vol 10 (1) ◽  
pp. 145 ◽  
Author(s):  
Izabela Ewa Nielsen ◽  
Sani Majumder ◽  
Subrata Saha
Keyword(s):  
Supply Chain ◽  
Product Quality ◽  
Closed Loop ◽  
Investment Efficiency ◽  
Government Subsidy ◽  
Closed Loop Supply Chain ◽  
Government Organizations ◽  
Game Theoretic Analysis ◽  
Game Theoretic ◽  
The Government

The pros and cons of government subsidy policies in a closed-loop supply chain (CLSC) setting on optimal pricing, investment decisions in improving product quality, and used product collection under social welfare (SW) optimization goal have not been examined comprehensively. This study compares the outcomes of three government policies under manufacturer-Stackelberg (MS) and retailer-Stackelberg (RS), namely (i) direct subsidy to the consumer, (ii) subsidy to the manufacturer to stimulate used product collection, and (iii) subsidy to the manufacturer to improve product quality. Results demonstrate that the greening level, used product collection, and SW are always higher under the RS game, but the rate of a subsidy granted by the government is always higher under the MS game. Profits for the CLSC members and SW are always higher if the government provides a subsidy directly to the consumer, but productivity of investment in the perspective of the manufacturer or government are less. In a second policy, the government organizations grant a subsidy to the manufacturer to stimulate used product collection, but it does not necessarily yield the desired outcome compared to others. In a third policy, the manufacturer receives a subsidy on a research and development (R&D) investment, but it yields a sub-optimal greening level. This study reveals that the outcomes of subsidy policies can bring benefit to consumers and add a degree of complication for CLSC members; government organizations need to inspect carefully among attributes, mainly product type, power of CLSC members, and investment efficiency for the manufacturer, before implementing any subsidy policies so that it can lead to an environmentally and economically viable outcome.

Study on Quality Prediction Technology of Manufacturing Supply Chain

2020 ◽  
pp. 2128-2148
Author(s):  
Genbao Zhang ◽  
Yan Ran ◽  
Dongmei Luo
Keyword(s):  
Quality Control ◽  
Supply Chain ◽  
Customer Satisfaction ◽  
Product Quality ◽  
Manufacturing Industry ◽  
Quality Prediction ◽  
Full Life Cycle ◽  
Manufacturing Supply Chain ◽  
Full Life ◽  
Ensure Product Quality

Supply chain quality is the assurance of product quality in its full life-cycle. Although supply chain quality control is a hot topic among researchers, supply chain quality prediction is actually an important but unsolved problem in manufacturing industry. In this paper, an approach of manufacturing supply chain quality prediction based on quality satisfaction degree is proposed to control supply chain better, in order to help ensure product quality. Supply chain quality prediction 3D model and model based on customer satisfaction and process control are established firstly. And then technologies used in quality prediction are studied, including quality prediction index system established on Expert scoring -AHP and prediction workflow built on ABPM. Finally an example is given to illustrate this approach. The customer satisfaction prediction result of supply chain quality can help supply chain management, and the quality prediction software system can make it easier, which provides a new direction for the product quality control technology research.

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