Quality management in logistics pdf

Abstract For seaports to be competitive and sustainable in the long-term in a turbulent and hyper-competitive market, a re-examination of success factors, organizational structures, and management … Expand.

TQM implementation in 3PL organisations vs organisations with in-house logistics department. The TQM Journal. Purpose The purpose of this paper is to present the results of an exploratory literature review investigating the similarities and differences in TQM implementation between 3PL organisations and … Expand.

The importance of logistics and supply chain management is increasing in manufacturing companies as they are sourcing, producing and distributing across the world and hence managing their supply … Expand. View 5 excerpts, cites background and methods.

Case study: managing for total quality of logistics services in the supply chain. Presents an analysis of the total quality management TQM system of a logistics service provider operating in a supply chain context. The company can achieve ongoing improvement in its services … Expand. View 1 excerpt, references results. The authors explored the relationship between the degree to which total quality management TQM practices were adopted within organizations and the corresponding competitive advantages achieved.

View 1 excerpt, references background. The management of business logistics. The latest edition of this market leading text has adopted a supply chain approach, one of the latest developments in logistics management.

Its managerial focus blends logistics theory with practical … Expand. To read the full version of this content please select one of the options below:. Other access options You may be able to access this content by logging in via your Emerald profile.

Rent this content from DeepDyve. Rent from DeepDyve. If you think you should have access to this content, click to contact our support team. This paper examines the application of quality management practices in the logistics function based on a field study of Australian firms. Major findings include the practices implemented, the specific areas in which firms have implemented these practices, the obstacles faced in doing so and future plans for continued development.

Millen, R. Report bugs here. Please share your general feedback. To start, logistics companies need to start considering how they can improve overall quality assurance for perishable cargo and the brands that produce them. There are a few ways to do this. Data logging is currently on the rise as a major solution to perishable item spoilage. A data logger is a digital device that can record data over the period of a certain amount of time through the use of sensors or built-in instruments.

These devices have a wide range of uses, but can be particularly helpful in monitoring transportation conditions for products. If a data logger can be used in conjunction with an analytics dashboard program such as a quality monitoring platform and let teams know in real-time if there is a dangerous dip or rise in temperature, then the relevant teams can remedy the issue before it results in food spoilage.

Thus, quality is assured and food waste is prevented. Data logging, when using the right equipment, can be fairly easy to implement into marine and truck transportation as well. First and foremost, quality assurance services and strategies should involve diverse and extensive forms of testing. Here are a few forms of testing to consider, depending on your niche:. Mobile device testing.

Since a majority of users stock teams, drivers, managers, etc. Mobile testing ensures that users at all areas of the supply chain can access relevant data and reporting software applications through their devices and enjoy a fluid, user-friendly experience that only improves productivity.

Cloud storage testing. Everybody in every industry is beginning to move towards cloud storage. It certainly makes sense why-- cloud storage has many great use cases for different businesses. But with that migration comes a lot of potential problems. Cloud security is still evolving to be the best it can be. Plus, the actual act of migrating data from physical storage to cloud can be a little difficult. Cloud testing can ensure a very smooth transition and can also help in improving security, latency, and overall performance.

Functionality testing. Logistics software needs to be multi-functional.