TRANSSHIPMENTS IN HAZARDOUS ENVIRONMENTS: COOPERATIVE VERSUS NONCOOPERATIVE QUALITY CONTROL GAME

2013 ◽  
Vol 15 (01) ◽  
pp. 1350001
Author(s):  
KONSTANTIN KOGAN ◽  
DANA SHERILL-ROFE

We address quality control of products undergoing multiple transshipment stages handled by different parties. Depending on the transportation modes, the stages may expose the products to hostile environments, such as extreme temperatures, which could influence quality. We incorporate the effect of quality on demand with the Neyman–Pearson statistical framework to study the effect of intra-competition between supply chain parties on inspection policies and thereby product quality. Specifically, we compare these policies with that of a centralized supply chain, where a single decision maker chooses the optimal inspection policies for all stages. We find that in terms of inspection policy, a party with the higher probability of nonconformance tends to inspect less under competition compared to the system-wide optimal inspection policy. Conversely, the other party may inspect more than under the system-wide optimal policy. We determine when intra-competition impacts conformance quality so that regulations are of particular importance for protecting consumers.

2018 ◽  
Vol 45 (3) ◽  
pp. 283-303 ◽  
Author(s):  
Shanshan Wang ◽  
Kun Chen ◽  
Zhiyong Liu ◽  
Ren-Yong Guo ◽  
Si Chen

The efficacy of the principal–agent contract in supply-chain quality control depends not only on contract parameters but also such noncontract parameters as cost of a high-quality effort and the diagnostic error of the inspection policy. The noncontract parameters usually fluctuate and are unobservable during contract execution, which may hinder suppliers’ high-quality effort, or, in other words, result in a lower efficacy for the contract. This article proposes an ontology-based approach to facilitating a principal–agent contract by monitoring the contract’s loss of efficacy. The approach consists of ontology-based models and data-centric algorithms. The ontology-based models not only formally represent concepts and relations between concepts involved in predicting whether a contract is efficient, but also organise multichannel data such as news, marketplace reports and industry databases containing information of factors impacting the unobservable noncontract parameters’ fluctuations. Based on the ontology-based models and multichannel data, the data-centric algorithms are developed to predict whether a contract will lose efficacy. We evaluate our approach through case study, simulation and comparison against related approaches to supply-chain quality control. The case study proves that our approach is appropriate. In the simulation evaluation, a combination of our approach and principal–agent contract is more efficient than just a principal–agent contract. The comparison results against related approaches show that our approach is a novel, inexpensive and directly applicable tool for reducing both asymmetric information and moral hazard in supply-chain quality control.


2021 ◽  
Vol 6 (1) ◽  
pp. 27-43
Author(s):  
Bob Ochieng

Introduction: Western Kenya is the largest producer of sugar in Kenya, supporting about 170,000 smallholder farming households and contributing about 80 percent of the total sugar produced in Kenya. This contribution is however threatened given that the sugar firms in that region are producing sub optimally with obsolete technology. Comparing to related sector, other firms in Kenya such as the tea manufacturing firms have implemented energy efficiency practices so as to manage energy wastage and reduce production costs. Were they to employ effective production methods, they could increase their production significantly. While that is the case, scholars have suggested that adoption of lean manufacturing practices is a panacea to quality addition and waste minimization. Perhaps what these firms need are lean practices. Purpose: This study interrogated the extent to which the firms have adopted lean manufacturing practices, just-in-time and total quality control and if they have, its effect on supply chain performance. Methodology: The study targeted and conducted a census on the 11 sugar manufacturing firms in the Western Kenya belt where the procurement managers, line managers, finance managers, production managers, production engineers, quality assurance officers and operations managers of each of the 11 firms (total 87) were targeted. The study employed a descriptive research design to collect quantitative data. Quantitative primary data was collected through questionnaires and analyzed using statistical package for social sciences.  Findings: The findings of the study indicated that the just in time productionand total quality control are positively and significantly associated with supply chain performance of the sugar manufacturing firms. Unique Contribution to Practice and Policy: The study recommended adoption of just in time production practices such as availing labor on demand in order to manage labor costs, availing resources on demand in order to manage wastage, production on demand in order to manage inventory costs, ordering raw materials from the suppliers only when there is demand for production from customers, having a simplified production design to ensure timely production and having multiple skilled workers to ensure faster production. In addition, in order for the sugar manufacturing firms to increase supply chain performance, there is need to adopt total quality control practices such as having manageable defect prevention costs related to quality planning, putting in place manageable defect prevention costs related to investment in quality related information systems, having manageable appraisal costs related to test and inspection of purchased materials, having manageable appraisal costs related to quality audits, having controllable internal failure costs related to reworks and having manageable internal failure costs related to scrap.


2009 ◽  
Vol 29 (S 01) ◽  
pp. S16-S18 ◽  
Author(s):  
B. Brand ◽  
N. von der Weid

SummaryThe Swiss Haemophilia Registry of the Medical Committee of the Swiss Haemophilia Society was established in 2000. Primarily it bears epidemiological and basic clinical data (incidence, type and severity of the disease, age groups, centres, mortality). Two thirds of the questions of the WFH Global Survey can be answered, especially those concerning use of concentrates (global, per capita) and treatment modalities (on-demand versus prophylactic regimens). Moreover, the registry is an important tool for quality control of the haemophilia treatment centres.There are no informations about infectious diseases like hepatitis or HIV, due to non-anonymisation of the data. We plan to incorporate the results of the mutation analysis in the future.


2021 ◽  
Vol 9 (12) ◽  
pp. 1340
Author(s):  
Xue-Bin Zheng ◽  
Yul-Seong Kim ◽  
Young-Ran Shin

Nowadays, roll-on/roll-off (Ro-Ro) is an important mode for short sea shipping (SSS) due to its advantages of fast and convenient load and unloading system. Despite the advantages, the market share of Ro-Ro is insignificant compared with lift-on/lift-off (Lo-Lo) in the Northeast Asian region that is geographically suitable for fostering SSS. Therefore, it is of utmost importance to have a better understanding of the effectiveness or Ro-Ro and Lo-Lo in the regional SSS market. For this purpose, this paper develops a model to estimate the total logistics cost of the two transportation modes. The total logistics costs of Ro-Ro and Lo-Lo are calculated on three major SSS routes between Korea and Japan. The results show that Lo-Lo outperforms Ro-Ro on most routes in terms of the cost effectiveness, and Ro-Ro is competitive only for high-priced and time-sensitive cargo. However, it is also documented that Ro-Ro transport has a significant impact on reduction in the total logistics costs when companies integrate the supply chain and improve the cooperative relationship to a high level.


2019 ◽  
Vol 25 (3) ◽  
pp. 473-487 ◽  
Author(s):  
Yuan Zhang ◽  
Stefan Jedeck ◽  
Li Yang ◽  
Lihui Bai

PurposeDespite the widespread expectation that additive manufacturing (AM) will become a disruptive technology to transform the spare parts supply chain, very limited research has been devoted to the quantitative modeling and analysis on how AM could fulfill the on-demand spare parts supply. On the other hand, the choice of using AM as a spare parts supply strategy over traditional inventory is a rising decision faced by manufacturers and requires quantitative analysis for their AM-or-stock decisions. The purpose of this paper is to develop a quantitative performance model for a generic powder bed fusion AM system in a spare parts supply chain, thus providing insights into this less-explored area in the literature.Design/methodology/approachIn this study, analysis based on a discrete event simulation was carried out for the use of AM in replacement of traditional warehouse inventory for an on-demand spare parts supply system. Generic powder bed fusion AM system was used in the model, and the same modeling approach could be applied to other types of AM processes. Using this model, the impact of both spare parts demand characteristics (e.g. part size attributes, demand rates) and the AM operations characteristics (e.g. machine size and postpone strategy) on the performance of using AM to supply spare parts was studied.FindingsThe simulation results show that in many cases the AM operation is not as cost competitive compared to the traditional warehouse-based spare parts supply operation, and that the spare parts size characteristics could significantly affect the overall performance of the AM operations. For some scenarios of the arrival process of spare parts demand, the use of the batched AM production could potentially result in significant delay in parts delivery, which necessitates further investigations of production optimization strategies.Originality/valueThe findings demonstrate that the proposed simulation tool can not only provide insights on the performance characteristics of using AM in the spare parts supply chain, especially in comparison to the traditional warehousing system, but also can be used toward decision making for both the AM manufacturers and the spare parts service providers.


Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Zhihui Wu ◽  
Lichao Feng ◽  
Dongyan Chen

In this paper, via the differential game method, the problems of the pricing and advertising decision are investigated by considering the effect of number of the platform users on demand. In addition, a novel contract is developed to coordinate the supply chain. Firstly, the optimal strategies of the pricing and advertising are given in the decentralized and centralized scenarios by applying the differential game theory. Also, the comparison analysis concerning on the optimal strategies is proposed in two decision scenarios. It is shown that the centralized scenario could lead to the higher advertising effort of each member and a lower retail price. Next, we construct the state-dependent contract with hope to coordinate the supply chain and then improve the performance of the supply chain. Finally, a numerical example is provided to illustrate the impacts of the price-elasticity index of demand and the effectiveness of the number of retailer’s platform users onto the feasible region of the corresponding contract.


Antioxidants ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1485
Author(s):  
Ylenia Spissu ◽  
Antonio Barberis ◽  
Guy D’hallewin ◽  
Germano Orrù ◽  
Alessandra Scano ◽  
...  

This work provides companies in the fresh-cut produce sector with an Ascorbate Bluetooth© Analyzer (ABA), a screen-printed sensor-based device for ascorbic acid (AA) detection, for quality control all along the supply chain. The amperometric detection of AA on fresh and fresh-cut parsley, under correct and incorrect storage temperature, allowed us to investigate the kinetics of AA decay in response to oxidative stress. The role of ascorbate oxidase (AOx) and ascorbate peroxidase (APx) was studied. ABA was used in situ by unskilled personnel. Treatments influenced AA decay kinetics, which were linear in fresh parsley, and non-linear in fresh-cut. Two hours at 28 °C immediately after chopping, the resilience of the fresh-cut parsley was reduced, even though the cold chain was restored. Two hours at −2 °C caused a rapid loss of AA until its complete decay after 72 h. Significant differences between treatments were observed in both the expression and activity of AOx and APx. ABA registered sudden changes of parsley AA following unpredicted variations of temperature during processing or transport. It was useful to remedy the effects of unexpected flaws in the cold chain, which can be proposed for quality preservation of different fresh-cut produce.


2011 ◽  
Vol 48-49 ◽  
pp. 1002-1005
Author(s):  
Hui Ping Lin ◽  
Xu Wei Zhu ◽  
Wei Ping Li ◽  
Li Liu ◽  
Zhao Hui Xie

This paper presents a supply chain collaboration service (SCCS) in SaaS paradigm to support inter-organization interaction between business partners. SaaS is very attractive to enterprises because it offers low cost and flexible on-demand IT solution. The paper presents an extensible service oriented architecture that can integrate business application as a service into SCCS. In order to improve the supply chain performance, it provides flexible support for information sharing between business partners. The SCCS prototype has been developed.


2018 ◽  
Vol 5 (3) ◽  
pp. 394-400 ◽  
Author(s):  
Qiang Shen ◽  
Jian Zhang ◽  
Yun-xian Hou ◽  
Jia-hui Yu ◽  
Jin-you Hu

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