Economic Control of Quality of Manufactured Product.

THE NEED FOR QUALITY The first thing that we need to consider, in any organization, is that quality is the most important thing. The quality of your work defines you.  Whoever you are,  Whatever you do,  I can find the same products and services cheaper somewhere else. But your quality is your signature. Developing and delivering high quality products and services means that you are doing things correctly from the beginning. As a consequence, you are reducing the need for additional services, from verification to warranty.

Total quality management.

A decade of agile methodologies

Historically, management theory has ignored the constraints imposed by the biophysical (natural) environment. Building upon resource-based theory, this article attempts to fill this void by proposing a natural-resource-based view of the firm—a theory of competitive advantage based upon the firm's relationship to the natural environment. It is composed of three interconnected strategies: pollution prevention, product stewardship, and sustainable development. Propositions are advanced for each of these strategies regarding key resource requirements and their contributions to sustained competitive advantage.

A natural resource-based view of the firm

One in a while, every twenty years perhaps, a book appears that makes one see a whole area of human experience in a new light. Once pointed out, the new insights are sp obvious that one cannot understand how one could have missed them before. In the broad area of the political economy of western society, J.A. Schumpeter's Capitalism, Socialism and Democracy (1943) was one such book. So, with all its faults, was J.K. Galbraith's The Affluent Society (1957). Fred Hirsch's Social Limits to Growth (Routledge and Kegan Paul, London, 1977) is another.

Social limits to growth

http://files.ferraz8.webnode.com/200000070-87e5d8ad41/Artigo6.pdf

Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach

Modeling agility of supply chain

In this age of globalization, to survive, organizations need a good capacity to retain, develop, organize and utilize their knowledge assets. The knowledge of an organization comprises of professional intellect, such as know‐how, know‐why, and self‐motivated creativity; as also the experience, concepts, values, beliefs and ways of working that can be shared and communicated. Knowledge Management (KM) is described as the management of an organization’s knowledge through the processes of creating, sustaining, applying, sharing and renewing knowledge to enhance organizational performance and create value. Interpretive Structual Modeling (ISM) is a methodology for identifying and summarizing relationships among specific elements, which define an issue or problem. It provides a means by which order can be imposed on the complexity of such elements. In the present paper the important elements (also referred to as variables) for the implementation of KM in engineering industries have been analyzed to obtain an ISM, which shows the inter‐relationships of the variables and their levels. These variables have also been categorized depending on their driving power and dependence.

An interpretive structural modeling of knowledge management in engineering industries

The performance of a supply chain is characterized by its ability to remain market‐sensitive without losing the integration through the chain. One of the difficulties in designing and analysing a supply chain is that its processes are governed by the strategic attributes of the supply chain. In order to evaluate the alternatives that provide the route of performance improvement in a supply chain, an analytic network process (ANP)‐based model is proposed. The ANP‐based evaluation model is illustrated through an example of supply chain. It provides an effective framework for analyzing the alternatives affecting supply chain performance. It also provides the decision methodology to prioritise these alternatives, so that supply chain performance can be improved.

Analyzing alternatives for improvement in supply chain performance

Trust is a binding force in most buyer‐supplier transactions. It is critical when uncertainty and asymmetric product information are present in the transaction of a supply chain. One of the important characteristics in developing trust among trading partners of an e‐enabled supply chain is stage‐wise trust development among partners. In the present work, alternatives for trust development among buyer and supplier have been identified. In order to evaluate the alternatives to evolve trust in an e‐enabled supply chain, a framework involving analytic networked process is proposed. It helps in synthesizing various characteristics of trust in the e‐enabled supply chain. For the illustrative example, the result indicates superiority of a community responsibility system for building on‐line trust along the e‐enabled supply chain.

Ashish Agarwal

Papers

Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach

Modeling agility of supply chain

An interpretive structural modeling of knowledge management in engineering industries

Analyzing alternatives for improvement in supply chain performance

On‐line trust building in e‐enabled supply chain