Xinggang Luo

Northeastern University | NEU · Department of System Engineering

With the rapid development of O2O, offline experience and online purchase have become a method of purchase for more and more customers. Through offline experience, consumers can feel the quality of products directly. Such channel switching behavior of consumers will produce a “showroom” effect and affect the return rate of online channels. This stu...

Incorporating consumer choice behavior into a product line design optimization model enhances the understanding of consumer choices and improves the opportunities to increase profit. Most product line optimization problems assume that parameters are precisely known in consumer choice model. However, the decision maker does not precisely know the mo...

Dynamic bus scheduling refers to adjusting the departure time according to the latest time-varying information or adjusting bus speed in the process of operation. These control strategies can prevent bus bunching and alleviate traffic pressure. The paper studies the multiline bus dynamic scheduling with consideration of departure time and speed mea...

For effective bus operations, it is important to flexibly arrange the departure times of buses at the first station according to real-time passenger flows and traffic conditions. In dynamic bus dispatching research, existing optimization models are usually based on the prediction and simulation of passenger flow data. The bus departure schemes are...

Dynamic bus scheduling is a rational solution to the urban traffic congestion problem. Most previous studies have considered a single bus line, and research on multiple bus lines remains limited. Departure schedules have been typically planned by making separate decisions regarding departure times. In this study, a joint optimization model of the b...

Products exhibit network effects when the utility a customer obtains from buying a product depends not only on its attributes but also on the sales of the same or similar products. In this article, we study product line optimization problem considering network effects. We first characterize consumer choice model considering network effects. Then we...

The rapid development of information and communication technologies has created more opportunities for the channel innovation in residential curbside collection and the technical revolution of material recovery facilities. In waste management, single stream allows the households to bundle the recyclable waste, and dual stream requires the household...

Consumer choice behaviour is important in the product line optimisation problem. The extant literature on product line optimisation is mostly based on traditional consumer choice models, such as the multinomial logit and multinomial probit models. These models either assume that the utility errors are independent from irrelevant alternatives (IIA)...

This paper investigates the product-positioning problem for a monopolist developing of a new product. The majority of the literature on product positioning assumes that the consumer choice model and parameters are both precisely known. In reality, however, the marketer may be uncertain about the model structure or the parameters due to incomplete i...

The probabilistic choice model is an important theory foundation for investigating consumer choice behavior in product optimization. In most studies, probabilistic choice behavior is simulated by the multinomial logit (MNL) model and a product always obtains some market share even though the utility a consumer obtains from buying the product is neg...

In modern cities, public transit is important for meeting people’s transportation needs. Dynamic bus dispatching plays an important role in a transit system, especially when the system experiences extreme weather, fluctuations in passenger flows, etc. Consequently, the assumption presented in the literature that departure timetables of buses are pr...

More e-commerce firms bundle the product with the service and the service uncertainty arising in e-business influences the purchase choice of heterogeneous consumers. Traditional literature assumes the qualities of product or service are distributed at the fixed levels to segment consumers who have the specific preference. In this paper, we adopt u...

Errors on the mathematical model of Mayer et al. (2013) are pointed out and corrected.

Optimisation of product family design has been emphasised and studied for many years. However, previous studies only took overall cost or profit as an optimisation objective, but ignored the supply risk of a product family. Moreover, the discount associated with the bidding price, which is common in practice, was not considered in the modelling. In...

Product family design optimization is an important decision task in the early stages of product development. The extant optimization models for product family design assume that the known information for modeling can be determined precisely. However, many collected information for product design are prone to be imprecise due to the inherent uncerta...

Selection of appropriate suppliers is an important decision task for enterprises. In literature papers, supplier selection is only considered from the view of components or parts, and evaluation of the overall outsourcing cost and supply risk is not considered from the view of product as a whole. In addition, the traditional process of supplier sel...

One of the core problems in software product family (SPF) is the coordination of product building and core asset development, specifically the integration of production strategy decision and core asset scenario selection. In the current paper, a model of Cost Optimization under Functional And Quality (CoFAQ) goal satisfaction constraints is develop...

The multinomial logit (MNL) consumer choice rules employed in the extant product design research assume that a product always has a market share even though the product has a very low utility value. In this paper, a new consumer choice rule integrating the dollar-scaled utility with piecewise logit function is proposed to avoid estimation bias caus...

Although research in flow shop production scheduling has been carried out for many decades, there is still a gap between theoretical research and industrial applications – especially in some manufacturing paradigms in which adaptive production control is necessary, such as in one-of-a-kind production (OKP). This paper presents an average processing...

An optimization model for a multi-segment market based on quality function deployment is established to maximize customers' overall customer satisfaction. The weights of importance of market segments and development costs in the model are expressed as triangular fuzzy numbers in order to describe the imprecision caused by human subjective judgment....

In a one-of-a-kind production (OKP) company, the operation routing and processing time of an order are usually different from the others due to high customisation. As a result, an OKP company needs to dynamically adjust the production resources to keep the production lines reconfigurable. Through a proper assignment of operators in different sectio...

Quality function deployment (QFD), as a customer-driven tool, has been widely used to translate customer requirements (CRs) into engineering characteristics (ECs) in product improvement. Product planning house of quality (PPHOQ) is of fundamental and strategic importance in the QFD system. Correctly rating the final importance of CRs is essential t...

In one-of-a-kind production (OKP) companies, the number of production resources in each work centre of a production line is flexible in shifts because the resource demands of customer orders are always different from shift to shift. In this paper an optimisation model is established to achieve an optimal resource allocation plan ensuring that all j...

In order to incorporate the customer into the early phase of the product development cycle and to better satisfy customers' requirements, this article adopts quality function deployment (QFD) for optimal design of a scalable product platform. A five-step QFD-based method is proposed to determine the optimal values for platform engineering character...

Quality function deployment (QFD) is a planning and problem-solving methodology that is widely used for translating customer requirements (CRs) into engineering characteristics (ECs) of a product. Acquiring ECs in product planning house of quality (PPHOQ) is a crucial step of QFD methodology. In previous studies, methods for acquiring ECs are quali...

A successful product family design should achieve two goals: minimizing the whole performance loss to satisfy customer requirements and minimizing the whole production cost to meet the enterprise benefits. The achievement of the two goals will depend on an appropriate selection of the platform, which is the key for product family design. In order t...

A new method for optimal product positioning based on quality function deployment (QFD) is proposed. Perceptual mapping and house of quality (HoQ) are introduced to link the consumer perceptual space, product attribute space and product engineering space. The degree of overall customer satisfaction is introduced in the rule of consumer choice proba...

Owing to the typical vagueness or imprecision of customer requirements (CRs) in product planning house of quality (PPHOQ), determining the final importance of CRs is very difficult. Combining rough set theory, Kano’s model, analytical hierarchy process (AHP), and scale method, an integrated method is proposed to obtain the final importance of CRs i...

Manufacturers have a legal accountability to deal with industrial waste generated from their production processes in order to avoid pollution. Along with advances in waste recovery techniques, manufacturers may adopt various recycling strategies in dealing with industrial waste. With reuse strategies and technologies, byproducts or wastes will be r...

A partial chain based Genetic Algorithm (PCGA) is developed to solve the integrated inventory and delivery scheduling in a distribution network where multiproducts at one supplier are distributed to several retailers. The shipments of products to the retailers are subcontracted to professional transportation enterprises via vehicle-rent way. Distin...

Many companies provide configurable products on Internet to satisfy customers’ diversified requirements. Most of business-to-consumer (B2C) e-commerce software systems use tree- or wizard-like approaches to guide customers in configuring a customized product on Internet web pages. However, customers may feel confused while they are selecting compon...

In order to minimize the total quality loss caused by commonization, this paper proposes a QFD-based method to obtain the appropriate values for platform engineering characteristics (ECs) and non-platform ECs of the product variants. Firstly, a QFD optimization approach is used to determine the optimal ECs for each product variant. By using cluster...

The scheduling problem of the annealing operation of roller in an annealing shop of a roller corporation is studied. The annealing operation of roller (AOR) is a process in which the cast rough roller is processed by high-temperature furnace, low-temperature furnace and pit working procedures, and finally is formed to the roller. There are differen...

A new method for optimizing components selection for configurable product is proposed based on quality function deployment (QFD) to minimize the difference between the customer's expectation and the selected product. The model is converted into an equivalent linear integer-programming model to facilitate the solving approach. An illustrative exampl...

One of the prerequisites for conventional resource constrained project scheduling problems is that the involved task is time-nonsplittable. But, not a few project scheduling problems in practice revealed that the execution time for an involved task is allowed to split into several parts, which are different from those problems not allowed to interr...

An improved particle swarm optimization (PSO) algorithm for resource-constrained project scheduling problem is proposed. The particle presentation, encoding scheme and decoding rule of this algorithm are presented. Improvements based on the basic PSO include: the particle swarm is initialized by heuristic rule to improve the quality of particles; i...

An optimizing model for task scheduling problem in product data management (PDM) is developed to minimize the duration of the project, number of split and total interrupted time of tasks. A hybrid genetic algorithm based on greedy approach is developed to solve this model. Priority rule is applied in coding scheme of the chromosome and greedy crite...