ae004d88-5896-4b14-a606-7a3ae273d231
➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạmNội dung chi tiết: ae004d88-5896-4b14-a606-7a3ae273d231
ae004d88-5896-4b14-a606-7a3ae273d231
nniuzg.nrf.ìTTf.ì"ì□□IinnnnnnLkyaii@zjii.edu.cnŨOŨŨŨŨŨDTŨŨŨnr 1-2J “Mico Flow Chemistry and Process Technology”Topic title: Experimental research of p ae004d88-5896-4b14-a606-7a3ae273d231plasma assisted propane reformingName supervisor: Prof. V. HesselE-mail address: V.Hessel@tue.nlSummaryThe plasma assisted propane reforming will be carried out in a simple-structured glid-arc discharge reactor in this project. Propane reforming by using oxygen and steam will both be investigated. H ae004d88-5896-4b14-a606-7a3ae273d231ie optimal operating conditions for synthesis gas production as well as the kinetics of the reaction system will be studied. Besides plasma reformingae004d88-5896-4b14-a606-7a3ae273d231
by itself, the synergetic effect ofapplying both plasma and heterogeneous catalysts will be investigated in order to gain insight into their interaơionniuzg.nrf.ìTTf.ì"ì□□IinnnnnnLkyaii@zjii.edu.cnŨOŨŨŨŨŨDTŨŨŨnr 1-2J “Mico Flow Chemistry and Process Technology”Topic title: Experimental research of p ae004d88-5896-4b14-a606-7a3ae273d231title: High-C. T Biphasic Flow Processing of D-Fnictose to HMF and Levulinic AcidName supervisor: Prof. V. HesselE-mail address: V.Hessel@tue.nlSummaryThe conversion of cellulose-ghicose-fructose-HMF presents a central pathway in the emerging biomass chemistry field and probably one with highest cha ae004d88-5896-4b14-a606-7a3ae273d231nces for use of micro process technology. In this context, a biphasic flow processing of D-Fnictose to HMF and levulinic acid with HCl/CHjCb (followinae004d88-5896-4b14-a606-7a3ae273d231
g Chem.Commun., 2012. online) shall be developed and optimized, in particular concerning the multi-phase mass transfer. The common aim to work at highnniuzg.nrf.ìTTf.ì"ì□□IinnnnnnLkyaii@zjii.edu.cnŨOŨŨŨŨŨDTŨŨŨnr 1-2J “Mico Flow Chemistry and Process Technology”Topic title: Experimental research of p ae004d88-5896-4b14-a606-7a3ae273d231essure, high-p) are beneficial as well. This involves also finding smart solutions for the reaction medium such as the use of MIĐK as environmental friendly solvent, effective extraơing agent with green profiles (following ChemSusChem 5, 2012,383) and phase modifiers to facilitate phase separation a ae004d88-5896-4b14-a606-7a3ae273d231nd prevent side reactions (following Science 312, 2006,1933). This shall be completed developing scale-out concepts towards real-case needs and possibae004d88-5896-4b14-a606-7a3ae273d231
ly the coupling to a second HMF derivatization step (e.g. selective oxidation'reduction).nn 3-6riOptimizing Configure To Order Supply Chainshttps://khnniuzg.nrf.ìTTf.ì"ì□□IinnnnnnLkyaii@zjii.edu.cnŨOŨŨŨŨŨDTŨŨŨnr 1-2J “Mico Flow Chemistry and Process Technology”Topic title: Experimental research of p ae004d88-5896-4b14-a606-7a3ae273d231s, while assembling these modules into final products once the customer order is agreed upon. This way of working enables these high-tech companies to produce their products within a reasonable amount of lime. Examples of such companies are ASML and FEI. Companies like these face a multitude of unce ae004d88-5896-4b14-a606-7a3ae273d231rtainties due to both product innovations and product complexity. The impact of product innovation is two-fold: uncertainty in manufacturing processinae004d88-5896-4b14-a606-7a3ae273d231
g times and uncertainty in customer requirements for modules and final products.In order to cope with uncertainty in demand and processes we have to unniuzg.nrf.ìTTf.ì"ì□□IinnnnnnLkyaii@zjii.edu.cnŨOŨŨŨŨŨDTŨŨŨnr 1-2J “Mico Flow Chemistry and Process Technology”Topic title: Experimental research of p ae004d88-5896-4b14-a606-7a3ae273d231 of the three slack options mentioned is most effective for a particular situation, i.e. yields a required operational customer service against minimal investments and cost. Research by whybark and Williams (1976) on very basic situations using simulation seems to indicate that slack time should be ae004d88-5896-4b14-a606-7a3ae273d231used in case of demand timing uncertainty, i.e. we know how much, but not when, while slack materials (quantity) should be used in case of demand quanae004d88-5896-4b14-a606-7a3ae273d231
tity uncertainty, i.e. we know when, but not how much. Recently, Van Kampen et al. (2010) addressed the same question, refining the insights, yet stilnniuzg.nrf.ìTTf.ì"ì□□IinnnnnnLkyaii@zjii.edu.cnŨOŨŨŨŨŨDTŨŨŨnr 1-2J “Mico Flow Chemistry and Process Technology”Topic title: Experimental research of p ae004d88-5896-4b14-a606-7a3ae273d231 use of slack to buffer against process and demand uncertainty. Our ambition is to develop generic and empirically valid quantitative models that are derived from a parsimonious description of the demand processes and manufacturing (transformation) processes involved , as well as a parsimonious desc ae004d88-5896-4b14-a606-7a3ae273d231ription of control policies that create the required slack through timely release of resources and materials. We emphasize here the parsimony of the dae004d88-5896-4b14-a606-7a3ae273d231
escription as we have empirical evidence that the precise definition of the control policy Is less important than its fundamental characteristics, sucnniuzg.nrf.ìTTf.ì"ì□□IinnnnnnLkyaii@zjii.edu.cnŨOŨŨŨŨŨDTŨŨŨnr 1-2J “Mico Flow Chemistry and Process Technology”Topic title: Experimental research of p ae004d88-5896-4b14-a606-7a3ae273d231igorous mathematical analysis.To provide some more insight into the way we want to develop models and methods to determine optimal combination of slack, we consider the special case with processing uncertainty, only. We assume that production of a machine involves N processes. Each process has a thr ae004d88-5896-4b14-a606-7a3ae273d231oughput time with some probability distribution. By setting a so-called safety lead time we can create a time buffer for each process. The key questioae004d88-5896-4b14-a606-7a3ae273d231
n is how to determine the optimal safety lead times that minimize the sum of work-in-progress costs and lateness costs. This model was introduced in lnniuzg.nrf.ìTTf.ì"ì□□IinnnnnnLkyaii@zjii.edu.cnŨOŨŨŨŨŨDTŨŨŨnr 1-2J “Mico Flow Chemistry and Process Technology”Topic title: Experimental research of p ae004d88-5896-4b14-a606-7a3ae273d231d that the model proposed by Yano (1987) can easily be extended to represent assembly systems, where multiple parallel processes (to assemble modules) feed a final assembly process consisting of subsequent stages that include machine assembly, testing, additional assembly of optional modules and add ae004d88-5896-4b14-a606-7a3ae273d231itional testing.Exact expressions have been derived for the relevant performance characteristics. However, there is no hope for efficient exact computae004d88-5896-4b14-a606-7a3ae273d231
ation of these expression for given safety lead times, let alone to find the optimal safety lead times. Fortunately, two-moment fits using mixed Erlannniuzg.nrf.ìTTf.ì"ì□□IinnnnnnLkyaii@zjii.edu.cnŨOŨŨŨŨŨDTŨŨŨnr 1-2J “Mico Flow Chemistry and Process Technology”Topic title: Experimental research of p ae004d88-5896-4b14-a606-7a3ae273d231lias been formulated leading to an efficient optimization algorithm.The conjecture formulated is an extension of the famous Newsvendor equation. Diks and De Kok (1998) show that optimal policies for controlling divergent multi-echelon inventory systems can be seen as a set of recursive generalized N ae004d88-5896-4b14-a606-7a3ae273d231ewsvendor equations. The conjecture for the stochastic assembly system described above states that equivalent generalized Newsvendor equations can beae004d88-5896-4b14-a606-7a3ae273d231
formulated, yet we lose the computationally attractive recursive stnicture. The efficient optimization algorithm Is based on decomposition of the systnniuzg.nrf.ìTTf.ì"ì□□IinnnnnnLkyaii@zjii.edu.cnŨOŨŨŨŨŨDTŨŨŨnr 1-2J “Mico Flow Chemistry and Process Technology”Topic title: Experimental research of p ae004d88-5896-4b14-a606-7a3ae273d231es for CTO manufacturingA first step in our research is to develop rigorous proofs of the conjecture for the special (ASML) case considered. The next step is to identify if the resulting theorem can be extended to general assembly systems, i.e. systems where each process has a single successor, but ae004d88-5896-4b14-a606-7a3ae273d231has an arbitrary number of predecessors. Preliminary research seems to suggest that similar Newsvendor equations may hold for divergent systems, whichae004d88-5896-4b14-a606-7a3ae273d231
we aim to proof as well. The ultimate goal in our study of systems with processing uncertainty, only. Is optimization of general networks. If we acconniuzg.nrf.ìTTf.ì"ì□□IinnnnnnLkyaii@zjii.edu.cnŨOŨŨŨŨŨDTŨŨŨnr 1-2J “Mico Flow Chemistry and Process Technology”Topic title: Experimental research of p ae004d88-5896-4b14-a606-7a3ae273d231nite capacityIn parallel to this research we want to include the resource perspective by assuming that each processing step involves one or more resources. By doing so we can study the impact of resource slack on throughput time uncertainty. The above perspective is a single-machine perspective, whi ae004d88-5896-4b14-a606-7a3ae273d231le in many cases multiple machines are produced in parallel and subsequently by the same resources. Depending on the manufacturing network topology thae004d88-5896-4b14-a606-7a3ae273d231
is leads to queueing networks. Serial assembly systems yield tandem queues. We want to see how the setting of safety lead times impacts the queueing bnniuzg.nrf.ìTTf.ì"ì□□IinnnnnnLkyaii@zjii.edu.cnŨOŨŨŨŨŨDTŨŨŨnr 1-2J “Mico Flow Chemistry and Process Technology”Topic title: Experimental research of p ae004d88-5896-4b14-a606-7a3ae273d231ach in line with the conceptual framework for production management by Bertrand et al (1990).PhD pr oject 3: Supply Chain Management for CTO manufacturingA final research project is aimed at incorporating the above into a multi-item multi-echelon inventory system representation of supply chains of C ae004d88-5896-4b14-a606-7a3ae273d231onfigure-To-Order companies that are driven by their orders for modules and parts. Here the quantity buffers come into the picture. We foresee to builae004d88-5896-4b14-a606-7a3ae273d231
d on the research of Diks and De Kok (1998, 1999) and Dogru et al (2013).Requirements for PhD candidatesStrong mathematical background, in particularGọi ngay
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