The Logistics Industry Planning in Ruoqiang, Xinjiang Province
Chapter 2: The Theoretical Review of the Logistics Parks’ Planning Theory
2.1 The Theoretical Review of the Logistics Parks’ Planning Method
A long-run building period together with the complexness during building is the chief feature in edifice logistics Parkss. Constructing a logistic park demands immense financess, and it is non profit-making in a short clip. Now under a ferociously competitory market, it is even more of import to carry on the planning method analyzing, particularly when during the existent building procedure, tonss of problems’ arising are due to a deficiency of sensible planning methods. In China, such jobs and misinterpretations are: ( 1 ) blindly enveloping the land ; ( 2 ) little theoretical analyzing on logistics parks’ be aftering method ; ( 3 ) deficiency of be aftering footing ; ( 4 ) no clear cognition on logistics parks’ map ; ( 5 ) deficiency of in-depth probe on market demands [ 4 ] .
2.1.1 Logisticss Parks’ Planning Methods: Current Research Situation in Foreign Countries
MSFLB Model: presently there are few foreign bookmans concentrating on logistics park be aftering methods. The chief planning methods are summarized by the Fraunhofer Research Institute of Germany. They studied many typical international logistics parks’ planning and building procedure and summed up the common characteristics as five stairss. MSFLB are in fact the acronyms of the undermentioned five stairss: Market Study, Strategic Positioning, Function Design, Layout Design and Business Plan.
2.1.2 Logisticss Parks’ Planning Methods: Current Research Situation in China
( 1 ) Planing method based on Highway Transportation Network: by following a “two-stage” perusal method, the research worker foremost locate the site of logistic park harmonizing to metropolis logistic volume and distribution characteristics. Then in phase two, based on the rule of minimum logistic and route web capacity-expansion cost, they bring in the bi-level scheduling theoretical account to set urban logistic park planning into the whole urban transit web planning system, so as to reflect the route network’s influence to the layout of urban logistic Parkss. [ 6 ]
( 2 ) Planing method based on the Industrial Park: this planning method follows a series of phases such as map placement, planning and planing construct, map construction, and route traffic organisation construct. Each of the above-named phases besides contains a series of act uponing factors severally, so this planning method is a particular 1. [ 7 ]
( 3 ) Planing method based on urban installations: the interior decorator adopts the urban planning method to carry on logistics Parkss undertaking. The metropolis map orientation, layout planning, transit planning and a series of other specific be aftering methods are applied into the logistics parks be aftering procedure, so as to do certain it goes on smoothly and comprehensively.
( 4 ) Planing method base on weight coefficient: Chinese bookman Zhang Qian considered the chief factors of the regional distribution park and by utilizing nonsubjective rating method, he set up a regional distribution park planning theoretical account. Then by carry oning an overall rating on regional distribution park’s planning based on weight coefficient, he fixed the optimum strategy and applied this chosen strategy into existent planning of logistics Parkss. [ 9 ]
2.1.3 Current Research Situation of the Logistic Parks in Xinjiang Province
By and large talking, the economic development in Xinjiang state still remains comparatively developing, and therefore a spread does be between other eastern states and Xinjiang in logistics industrial development. Presently, there are several Chinese bookmans concentrating on the perusal of the logistics industry development in Xinjiang state. Scholar Tangmin from Xinjiang University published his article “A Study on the Relationship between the Logistics Industry Development
2.1.4 Analysis on the Planning Method
188.8.131.52 The Concept of the Planning Method and the Current Theories
Planing method has ever been highlighted since the center of the 19Thursdaycentury, and the innovators are some bookmans analyzing land economic sciences and regional geographics, such as Edgar Hoover, Johann von Thuen, August Loseh, Melvin Greenhut, Walte Isard and T. Palander. In be aftering determination procedure, transit cost was the common topic for those earlier surveies. Though many constructs were already formed under the status in agricultural and pre-industrial society, but those bookmans still used them. The betterment and development of the topics of operational research and logistics provide opportunities for installations be aftering method, which were therefore non limited to pure theoretical surveies ; alternatively, more practical mathematical theoretical accounts were set up. During the planning procedure, the undermentioned methods are normally adopted:
( 1 ) The mathematic analysis planning method: this solution combines weight and distance, seting the two factors as the co-ordinate points, and logistics nodes the variables. The concluding solution strategy is to find the coordinate place of the logistics nodes through co-ordinate and mathematic analyzing methods ;
( 2 ) Linear optimisation be aftering method: this solution’s advantage is its effectual optimisation technique, so normally it is adopted as a tool in strategic logistics be aftering. Under certain restraints, this method could assist you take a best solution strategy from many options.
( 3 ) Analog simulation engineering be aftering method: this solution could set the computer’s 3-dimensional simulation engineering into the existent application in logistic parks’ planning and designing, and repair the planning of logistic nodes. At present, there are two simulation engineerings, viz. , inactive simulation and dynamic simulation.
2.2 The Theoretical Review of the Logistics Parks’ Planning Technology
In logistic Parkss be aftering, now many bookmans at place and abroad hold made intensive survey about the following four parts: demand anticipation, site choice, land scale confirming and park map. Many of their research findings have been put into practical usage successfully, and we have got some successful instances for our mention. Therefore, this paper will give you a literary reappraisal on these theoretical research consequences every bit good as some successful instances.
2.2.1 Logisticss Parks’ Planning Technology: Current Research Situation in Foreign Countries
184.108.40.206 Planning Technology of Demand Prediction
( 1 ) Multinomial Probit Model: Scholar Rodrigo A. Garrido and Hani S. Mahmassani ( 2000 ) have forecasted freight transit demand with the space-time polynomial probit theoretical account [ 14 ] .
( 2 ) Multivariate Cointegrating Vector Auto Regressive Model: Mudit Kulshreshtha and other bookmans have made the cargo clip sequence informations as their research aim, evidenced by field survey on Indian railroads. They introduced the multivariate cointegrating vector car regressive theoretical account into freight conveyance demand anticipation.
220.127.116.11 Planning Technology of Site Selection
Sing the site choice theory and method survey of logistic Parkss, few instances could be applied for our mentions. At present, some research consequences are related to distribution centres, logistic centres and warehouse location, while in bing foreign paperss, there is barely any reference about the footing debate on logistic parks’ site choice.
18.104.22.168 Planning Technology of Land Scale Confirming
( 1 ) Operational Research Model: based on operational research theory, bookmans such as Weber [ 16 ] ( 1929 ) , Beckman [ 17 ] ( 1968 ) and Drener [ 18 ] ( 1995 ) have made surveies on logistic Parkss land graduated table.
( 2 ) Integral Programing Model: Scholar Noritake and Kimura [ 19 ] ( 1990 ) have brought frontward the built-in scheduling theoretical account to gauge haven logistics land graduated table.
22.214.171.124 Research on the Function of Logistic Parks’ Planning
In comparing, presently more researches have been conducted on the micro-layout planning of the logistic park than on its internal map planing [ 20-21 ] .
2.2.2 Logisticss Parks’ Planning Technology: Current Research Situation in China
126.96.36.199 Planning Technology of Demand Prediction
( 1 ) Unary Linear Regression Analysis Model: base on value volume and nonsubjective volume, Chinese bookmans Liu Changxiu, Zhang Wuyi and Lin Qiang chose the unary additive arrested development analysis method to calculate the comprehensive lading volume of Yunnan state and demonstrated that the entire logistics cost of Yunnan state appeared an increasing inclination with rapid growing of comprehensive lading volume [ 22 ] .
( 2 ) Grey Prediction Model: Chinese bookmans Han Yanhui, Wang Yanlin and Chen Chao analyzed the types of chief industries in Erduos part and predicted the end product of ladings of chief industries with gray anticipation method. The consequences showed that the end product of ladings of chief industries would maintain fast increasing velocity in the hereafter [ 23 ] .
( 3 ) MATLAB Software Model: Chinese bookmans Tang Zhongming and Fu Xinping illustrated the basic rule of using MATLAB package to foretell logistics demand, and successfully conducted a rapid anticipation on cyclicity inclination logistics demand on the MATLAB platform [ 24 ] , and forecasted freight transit demand with the space-time polynomial probit theoretical account [ 14 ] .
( 4 ) MLP Neural Network Forecasting Model: base on their surveies on MLP unreal nervous web, Chinese bookmans Hou Rui and Zhang Bi brought a regional logistics demand calculating theoretical account. This theoretical account non merely explained the nonlinear relationship between regional economic system and regional logistics demand but besides put frontward a new thought and methodological analysis for regional logistics demand calculating [ 25 ] .
( 5 ) Combination Forecasting Model: based on the rule of the least mistake absolute value, Chinese bookmans Chu Liangyong, Tian Zhiguang and Xie Xinlian combined the arrested development analysis, Grey prediction and nervous web to organize a combination calculating theoretical account in logistics demand. They verified the theoretical account with concrete illustration. The consequence of mistake analysis showed that it well improved preciseness of prognosis and manifested the cogencies of prediction of logistics demand [ 26 ] .
188.8.131.52 Planning Technology of Site Selection
( 1 ) Center of Gravity Method: Chinese bookmans Wang Qionglin and Zhang Tingting used Goolge Earth package and carried out the logistic parks’ site location by utilizing the method of center-of-gravity. They besides evaluated each campaigner reference by fuzzed comprehensive rating method to deduce the optimum reference [ 27 ] .
( 2 ) Factor Analysis Method: Chinese bookmans Zou Xiaoping and Guan Dongmei put frontward the method of taking Logistics Park by factor analysis method. Using this method, the music director first chooses each campaigner address’s act uponing factor, so they grade each campaigner strategy based on those factors, and at last, they calculate the entire points of campaigner strategy, viz. , the whole weight of the campaigner strategy. The concluding site strategy is the 1 with the highest entire weight [ 28 ] .
( 3 ) A-F Method: based on combing normally used comprehensive rating methods in logistics Parkss location, Chinese bookmans Ji Dan and Guo Zheng made comparative survey on many factors, and they drew the decision that each individual rating method has its ain advantages and disadvantages, therefore they should be integrated, in which the A-F method ( Analytic Hierarchy Process and Fussy Comprehensive Evaluation Method ) has a comparatively better publicity value.
( 4 ) CFLP Model: Chinese bookman Xu Chengtie, Zhu Xiaoning and Xu Xiaobing analyzed the rules for distribution-centered logistics parks’ be aftering and based on this, they suggested the CFLP ( Capacitated Facility Location Problem ) theoretical account and offered a quantitative processing method for site location job [ 30 ] .
( 5 ) Non-Structural Fuzzy Optimal Model: Chinese scholar Tan Minjun and Wang Xiong comprehensively considered assorted factors act uponing the logistics Parkss site location in the decision-making procedure. By utilizing a non-structural fuzzy optimum theory, they fixed the campaigner references weight and determined the concluding site by the size of each vector measure [ 31 ] .
( 6 ) Combined Evaluation Model: Chinese bookmans Zhang Dezhi and Xie Ruhe offered a combined rating theoretical account. Compared with former traditional calculating method, this theoretical account enjoys a better pertinence [ 32 ] .
2.3 Brief Summary of this Chapter
This chapter is the theoretical portion of the whole thesis. First, a theoretical literary reappraisal on logistics parks’ be aftering methods is given and the writer makes a comparative analysis on the typical logistics parks’ be aftering methods at place and abroad, summaries the features of those be aftering methods and specifies their Scopess of application. Then, a theoretical literary reappraisal on logistics parks’ be aftering engineering is offered. The writer surveies on the planning technologies’ current research state of affairs from the following four facets: demand anticipation, site choice, land scale confirming and the map of logistics parks’ planning, so the writer analyzes the four planning technologies’ importance grade. Finally, based on the elaborate theoretical literary reappraisal on logistics parks’ be aftering method and engineering, this chapter lays the foundation for the planning method of Xinjiang logistics Parkss.