This paper describes a special purpose simulation model developed for analysing supply chain (SC) behaviour and performance in the presence of uncertainty. A SC is viewed as a series of facilities that performs procurement of raw materials, its transformation to intermediate and end-products, and distribution and sales of the end-products to customers. Uncertainties perceived in these SC data a...

An important open issue in KDD research is the reveal and the handling of uncertainty. The popular classification approaches do not take into account this feature while they do not exploit properly the significant amount of information included in the results of classification process (i.e., classification scheme), though it will be useful in decision-making. In this paper we present a framewor...

The high uncertainty of creating business models demands entrepreneurs to re-evaluate and continuously adapt them. Therefore, incubators offer validation services. However, systematic, and scalable information systems to enable interaction with a crowd of potential customers, investors, or other stakeholders and entrepreneurs do not exist. Our aim is thus to develop tentative design principles ...

this essay proposes results of three investigations on satisfaction of industry & mine bank's customers. this research rendered yearly and pursues following purposes: attainment to resolution for increasing customers' satisfaction, knowing of customers' attitudes on bank employees, customers' judgment on regularities of bank, measuring customers' satisfaction, knowing o...

This paper proposes a simple model that possibly explains the productivity slowdown observed in Japan during the 1990s. Under a forbearance policy by the government toward nonperforming loans, one keeping insolvent firms afloat, other economic agents become exposed to a higher risk of not being paid by their customers (payment uncertainty). It is shown that the payment uncertainty, working thro...

In the context of quality assurance strategies, statistical process control techniques and conformance testing are necessary to perform a correct quality auditing of process outcomes. However, data collection is based on measurements and every measurement is intrinsically affected by uncertainty. Even if adopted instruments are in a condition of metrological confirmation, random and systematic ...

Customer satisfaction analyses are deeply based on customers’ judgments and as consequence, they can be characterized by a certain degree of uncertainty generally ascribed to coexistence of three relevant aspects: vagueness, imprecision and subjectivity. In the present paper, a methodology able to handle such uncertainty, based on the ServQual discrepancy paradigm and that uses in combined mann...

We consider the problem of dispatching technicians to service/repair geographically distributed equipment. This problem can be cast as a vehicle routing problem with time windows, where customers expect fast response and small delays. Estimates of the service time, however, can be subject to a significant amount of uncertainty due to misdiagnosis of the reason for failure or surprises during re...

As organizations embrace the global business world, the exploitation of the recent advance technologies to communicate between various business partners and customers in different geographical locations worldwide and across countries become eminent. The objective of this paper is to advance our understanding on how e-commerce is being adopted in two different countries rarely studied; Malaysia ...

With the spread of services related to cloud environment, it is tiresome and time consuming for users to look for the appropriate service that meet with their needs. Therefore, finding a valid and reliable service is essential. However, in case a single cloud service cannot fulfil every user requirements, a composition of cloud services is needed. In addition, the need to treat uncertainty in c...