Reducing carbon emissions, including emission abatement outsourcing at the supply-chain level, is becoming a significant but challenging problem in practice. Confronting this challenge, we therefore break down practice to focus on low-carbon supply chain consisting of one supplier, manufacturer and third-party emission-reducing contractor. The contractor offers reduction service manufacturer. In view increasing proportion Greenhouse Gases (GHG) emissions absence policies developing...

The effect of construction detailing on energy efficiency buildings has received a lot attention the component level but not enough whole building level. Inadequate and workmanship lead to deterioration façade properties. Their occurrence effects cannot be determined in deterministic way. It is, therefore, relevant quantify, probabilistic sense, role overall performance. This paper focuses two typical concerns, namely, thermal bridge air leakage. We set up method quantify variability...

Among responses to governmental regulations for curbing carbon emissions, outsourcing reduction a specialized third-party is an important means satisfy variety of carbon-emission restraints. In this situation, however, designing efficient contracts emission reducing while retaining appropriate supply-chain profit substantial but challenging problem. We therefore refine from practice and consider low-carbon supply chain consisting one manufacturer retailer analyze in which conditions the...

Information concerning carbon reduction efficiency is of great significance to supply chain operations. Considering the impact information asymmetry on performance low-carbon chain, we therefore analyze a system with single product designer and manufacturer. The manufacturer owns efficiency, whereas only knows that either high or low. To induce reveal his true private carbon-reduction designer, devise pooling separating equilibrium models compare impacts these two performance, respectively....

The common rail pressure of a marine diesel engine high-pressure system is typically controlled by PID (Proportional Integral Differential) algorithm, which has problems with both overshoot and response delay. In this paper, the control method based on object model for studied. established within controller. Through developed current actual obtained real-time acquisition, variables issued controller to are predicted calculated. fuel supply required in whole calculated advance, then taken as...

In the post epidemic era, mode of live streaming was recognized by market. This paper research in impact different levels fairness concerns heterogeneous consumers on pricing strategy streaming. The study finds that differential is conducive to improving profits supply chain, but price consumer identification services provided e-commerce platforms key factor determines whether online celebrity anchors accept differentiated platform consumers. (such as JD platform) with a higher level concern...

Occupan ts interact with buildings in various ways via their presence (passive effects) and control actions (active effects). Passive effects regard people’s as a heat (sensible latent) generation source while active take into account occupants’ operation of appliances lighting, heating, cooling, ventilation devices. Therefore, understanding the influence occupants is essential if we are to evaluate performance building. Conventional methods represent complex relationships between by...

Managing material and cash flows attracts concerns of physical financial departments in most companies. We, therefore, focus on optimizing the replenishment policy for a channel with stock-dependent demand considering item deterioration order backlogging under two schemes progressive trade credit periods. We take both continuous payment regime (CPR) discrete (DPR) into account trading process, which generates ten distinct scenarios. show that profit functions may not necessarily be concave...

In this paper, the high-pressure common rail system of marine diesel engine is taken as case study to establish a real-time simulation model that can be used controlled object control system. On premise ensuring accuracy, should also respond quickly instructions issued by The development based on modular modeling method, and divided into submodels, including oil pump, tube, injector, mass conversion. submodels are built using “surrogate model” which mainly composed MAP data empirical...

In view of the crucial role consumer data concerning low-carbon preferences, a supply chain was established, encompassing one manufacturer and retailer. Both entities employed technological tools to predict demand. This study assessed profitability participants under two strategies, “make-to-order” “make-to-stock”, considering scenarios with without demand forecast sharing information. Furthermore, we investigated how factors such as variability, biases from retailer, correlation coefficient...

By leveraging big data service (BDS), enterprises can gain increasing accurate understanding of the evolving consumer demand for low-carbon products (LCP). This enables them to produce marketable LCP, which is conducive achievement "net zero" goal. Besides, preference LCP influenced by both product’s emission reduction level (ERL) and reference effect. In this paper, we employ differential games construct a dual-channel supply chain (DCSC), explore three scenarios: no investment in BDS,...

With the increasing level of intelligence marine engines, there is an demand for online monitoring and NOx emissions have been great concern. In this paper, a simulation model developed based on virtual measurement technology, which can calculate predict current operating state parameters low-speed two-stroke diesel engines. First, calibrated 3D used to design experiments obtain experimental samples. Based generation mechanism engine work-related parameters, relevant factors were selected as...

Considering the regulation of carbon cap-and-trade schemes, this paper analyses influence external trading and internal platform targeted promotion services on choice supply chain cooperation strategies. First, two low-carbon e-commerce (LCESC) decision-making models under agency or resale mode are constructed solved. Then, contrasts equilibrium solutions models, analyzes effect key parameters solution, discusses price decisions earnings through numerical analysis. The results show that:...

Sensitivity analysis has gradually become an intrinsic part of uncertainty for the identification key factors affecting prediction building performance. Traditional methods include variance-based methods, screening-based and meta-model based methods. However, state-of-the art can now explicitly hidden discrepancies in models that we use, which typically are not characterized as exposed parameter uncertainty. These structural have been “model form uncertainty”, similar to discrepancy”...