Abstract: A method includes forming a first fin and a second fin protruding from a frontside of a substrate, forming a gate stack over the first and second fins, forming a dielectric feature dividing the gate stack into a first segment engaging the first fin and a second segment engaging the second fin, and growing a first epitaxial feature on the first fin and a second epitaxial feature on the second fin. The dielectric feature is disposed between the first and second epitaxial features. The method also includes performing an etching process on a backside of the substrate to form a backside trench, and forming a backside via in the backside trench. The backside trench exposes the dielectric feature and the first and second epitaxial features. The backside via straddles the dielectric feature and is in electrical connection with the first and second epitaxial features.

Abstract: The present disclosure relates to a method for fabricating a semiconductor structure. The method includes providing a substrate with a gate structure, an insulating structure over the gate structure, and a S/D region; depositing a titanium silicide layer over the S/D region with a first chemical vapor deposition (CVD) process. The first CVD process includes a first hydrogen gas flow. The method also includes depositing a titanium nitride layer over the insulating structure with a second CVD process. The second CVD process includes a second hydrogen gas flow. The first and second CVD processes are performed in a single reaction chamber and a flow rate of the first hydrogen gas flow is higher than a flow rate of the second hydrogen gas flow.

Abstract: A method of production planning includes steps of: (a) collecting sample data points for a resource type, each of the sample data points representing an individual relationship among arrival workload, initial work-in-process (WIP) workload and input workload of the resource type; and (b) establishing a capacity model that models the relationship among arrival workload, initial WIP workload and expected input workload of the resource type according to the sample data points collected in step (a), a first predetermined objective function, and a first set of predetermined constraints.

Abstract: In a booking decision method for transportation industry by sampling optimal revenues, a random sample scenario of a scenario index is generated. A first optimal revenue is generated under a condition of rejecting the current arrival booking request, and a second optimal revenue is generated under a condition of accepting the current arrival booking request. The scenario index is increased by 1 if the sample scenario index is smaller than a total number of sample scenarios; otherwise, a first average revenue of the first optimal revenue and a second average revenue of the second optimal revenue are calculated, and the marginal profit is calculated according to the first average revenue and the second average revenue. If the price of a current arrival request is greater than or equal to the marginal profit, the current arrival booking request is accepted; otherwise, the current arrival booking request is rejected.

Abstract: In a group decision method on ranking of a large number of alternatives, multiple alternatives are re-grouped into subgroups, and each alternative in every subgroup are evaluated based on information of each alternative to generate a ranking number for each alternative in every subgroup. Then, a normalized score for each alternative in every subgroup are determined to generate an average normalized score for each alternative, so as to increase the accuracy of ranking results of alternatives in a large scale competition.

Abstract: A sale decision method and a sale request evaluation method are disclosed to increase the revenue by selling available products. The sale decision method is applied in a sale decision system that includes an input module, a database module, a decision computation module, and an output module. The sale decision method comprises a sale request receiving process, a sale decision making process, and a sale decision output process. The input module receives a sale request, the decision computation module produces a sale decision, and the output module outputs the sale decision. In addition, the sale request evaluation method is applied in a sale request evaluation system that includes an input module, a database module, a sale request evaluation module, and an output module to determine the quotation of price for a sale request.