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奧運會臨時超市網點設計

2023年10月03日

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摘 要
本文結合附錄提供的問卷調查的結果,將其數據進行統計分析,通過計算不同性別、年齡段的人群的出行、就餐選擇,在選擇最短路徑的前提下所產生的人流量,以及不同消費檔次的人群的消費總和及其所占百分比,用其數據進行預測奧運會期間的出行、就餐選擇時產生的人流量以及滿足觀眾的購物需求,通過多目標最優化設計,在奧運場館附近給定的商區內,最合理的建立Mini Supermarket,使得商區的利潤最大化。所得到的結果較為合理,與實際貼近。
對問題1,採用統計分析的方法,找出觀眾在出行、用餐和購物等方面的規律,比較符合實際
對問題2,利用問題1的結果,採用矩陣分析和計算,測算出商區的人流分布
A區
A1 A2 A3 A4 A5 A6 A7 A8 A9 A10
8.49% 4.53% 4.60% 4.92% 5.35% 10.25% 5.11% 4.80% 4.72% 4.76%
B區
B1 B2 B3 B4 B5 B6
4.07% 3.58% 5.89% 3.45% 3.98% 8.26%
C區
C1 C2 C3 C4
1.91% 2.60% 3.02% 5.70%
對問題3,在滿足題中3個基本條件的前提下,根據顯示生活中的實際情況取1組大MS和小MS的取值範圍,得到商區內MS網點的設計方案如下:
取500000 大MS規模 2000000,10000 小MS規模 500000
大MS
A區(2,3,3,2,2,7,2,2,2,3) B區(2,3,2,2,3,5)
C區(3,2,2,4)
小MS
A區(1,2,2,4,5,1,2,4,2,4) B區(1,4,7,4,5,1)
C區(2,4,3,1)
大MS的規模為:594336.73元,小MS的規模為:120615.43元
關鍵詞:統計分析;最短路徑;消費金額
Olympic Games temporary supermarket mesh point design
Information and computation scientific specialty LiTan
Instructs teacher LiuHuiYa
Abstract
This article unifies the questionnaire survey result which the appendix provides, carries on its data the statistical analysis, Through the computation different sex, the age section crowd goes on a journey, goes to eat the choice,
Person current capacity produces which in under the choice most short-path premise, As well as the different expense scale crowds expense sum total and its accounts for the percentage, Carries on with its data forecast the person current capacity which Olympic Games period goes on a journey, goes to eat when choice produces as well as meets audiences shopping need, Through the multi- goals optimization design, in business area which assigns nearby the Olympic Games field hall, Most reasonable establishment Mini Supermarket, causes business area the profit maximization. Obtained arrives the result is reason able, with actual draws close to.
To the question one, uses the statistical analysis the method, discovers the audience to go on a journey, to dine with aspect the and so on shopping rule, compared with conforms to the reality
To the question two, a use question result, uses the matrix analysis and the computation, surveys business area the stream of people distribution
A area
A1 A2 A3 A4 A5 A6 A7 A8 A9 A10
8.49% 4.53% 4.60% 4.92% 5.35% 10.25% 5.11% 4.80% 4.72% 4.76%
B area
B1 B2 B3 B4 B5 B6
4.07% 3.58% 5.89% 3.45% 3.98% 8.26%
C area
C1 C2 C3 C4
1.91% 2.60% 3.02% 5.70%
To the question three, in satisfies in the topic under three basic conditions premises, according to demonstrated in the life the actual situation takes group of big MS and the small MS value scope, obtain sin business area the MS mesh point design proposal to be as follows:
Takes 500,000 big MS scale 2 million, 10,000 small MS scale 500,000
Big MS
A aera(2,3,3,2,2,7,2,2,2,3) B area (2,3,2,2,3,5)
C area (3,2,2,4)
Small MS
A area (1,2,2,4,5,1,2,4,2,4) B area (1,4,7,4,5,1)
C area (2,4,3,1)
Keywords: Statistical analysis; most short-path; Expense amount

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