This paper proposes a business model for providing services based on the Internet of Things through a platform that intermediates between human users and Wireless Sensor Networks (WSNs). The platform seeks to maximize its profit through posting both the price charged to each user and the price paid to each WSN. A complete analysis of the profit maximization problem is performed in this paper. W...

The main objective of a bidding agent in TAC SCM is to get profitable orders and to get enough orders to keep the production going. There is a delicate balance that the bidding agent needs to maintain while deciding on which specific orders to bid and what bidding price to set. In this highly complex bidding problem with (i) many inter-dependencies, (ii) multiple information flows, (iii) histor...

Investments in foreign exchange (forex) promise lucrative profits, thus inviting a lot of attention for researcher sand traders to create a system or indicator in trading. All indicators or system is reliable and has proven hat can bring profit for traders. Basically all indicator are reliable and tested which able to bring some profit to traders. Ironically there are many trader fail to gain t...

This paper develops hedging strategies for an electricity distributor in the Nordic electricity market who manages price and volume risk from fixed price agreements on stochastic electricity load. Whereas the distributor trades in the spot market at area prices, the financial contracts used for hedging are settled against the system price. Both the area price and the system price are correlated...

The paper considers a bidirectional power flow model of the electric vehicles (EVs) in a charging station. The EVs can inject energies by discharging via a Vehicle-to-Grid (V2G) service which can enhance the profits of the charging station. However, frequent charging and discharging degrade battery life. A proper compensation needs to be paid to the users to participate in the V2G service. We p...

We consider a monopolist’s profit-maximization problem when the demand for the product is created by the referrals between consumers who are connected over the social network. The monopolist decides the price of the product and the referral fee which is awarded to consumers whose referrals lead to sales of the product. It is known that the social network in the real world has the small world pr...

This article presents a review of the issues associated with a manufacturer’s pricing strategies in a twoechelon supply chain that comprises one manufacturer and two competing retailers, with warranty period-dependent demands. The manufacturer, as a Stackelberg leader, specifies wholesale prices to two competing retailers who face warranty period-dependent demand and have different sales costs....

This paper proposes a multi-objective bidding strategy for a generation company (GenCo) in a day-ahead uniform price spot market using non-dominated sorting particle swarm optimisation (NSPSO). NSPSO is introduced to solve the multi-objective strategic bidding problem considering expected profit maximisation and risk (profit variation) minimisation. Monte Carlo (MC) simulation is employed to si...

Aim To explore tobacco profit margins and sales among small retailers in England. Methods Interviews with managers/owners of 62 small retail shops that sold tobacco in disadvantaged areas of Newcastle and London, England. The interviews included questions about tobacco sales and profit margins, and interest in reducing reliance on tobacco sales. Results The majority of retailers (89%) repor...

Changing economic conditions make the selling price and demand quantity more and more uncertain in the market. The conventional inventory models determine the selling price and order quantity for a retailer’s maximal profit with exactly known parameters. This paper develops a solution method to derive the fuzzy profit of the inventory model when the demand quantity and unit cost are fuzzy numbe...