scholarly journals Factors Influencing the lead time of chicken transportation

2021 ◽  
Vol 297 ◽  
pp. 01015
Author(s):  
Narjice El-ghardouf ◽  
Ahmed Elakkary ◽  
Nacer Sefiani
Keyword(s):  
Lead Time ◽  
Sampling Method ◽  
Principal Component ◽  
Truck Drivers ◽  
Distribution Data ◽  
Delivery Time ◽  
Snowball Sampling ◽  
Transport Time ◽  
Factors Affecting ◽  
Fresh Products

The paper’s purpose is to analyze thirteen variables behind the inappropriate lead time of chicken transportation and determine the factors affecting this distribution. Data, using the snowball sampling method, included 264 questionnaires collected from chicken truck drivers. First, we use the principal component analysis (PCA) to identify the factors contributing to the longest delivery time. We find through PCA that all the variables analyzed take part significantly in the transport time. The most important factors were Connectivity, Resources, Verification & Frisking, Road, and Planning. Improving these factors will optimize the lead time of transport, consequently; improving profitability and animal welfare and quality. The findings are useful to production companies of any fresh products looking to improve their delivery time and increase more benefits.

Redesigning one-warehousen-retailer routing model in inter-store stock transfer operations of an international retail chain distribution

2018 ◽  
Vol 30 (3) ◽  
pp. 536-554 ◽  
Author(s):  
Eugene Wong ◽  
Allen H. Tai ◽  
Yan Wei ◽  
Iris Yip
Keyword(s):  
Factor Analysis ◽  
Waiting Time ◽  
Six Sigma ◽  
Principal Component ◽  
Transfer Model ◽  
Delivery Time ◽  
Content Type ◽  
Factors Affecting ◽  
Retail Chain ◽  
Significant Factors

PurposeThe effectiveness of product replenishment and responsiveness of customer service delivery impact largely on satisfaction and retention of customers in retail chain logistics distribution. The fast moving goods in the complex delivery network and limited vehicle resource often lead to long customer waiting time in stock replenishment. With lack of literature systematically reviewing factors affecting retail distribution in inter-store stock transfer services and improving the operations, the purpose of this paper is to analyse and enhance this service for the retail to reduce customer dissatisfaction by developing an integrated quality service improvement methodology and an optimisation tool to improve the product delivery services.Design/methodology/approachThis paper reviews inter-store stock transfer operations and the process capability of an international retail chain, and proposes improvements by integrating Six Sigma, factor analysis, and optimisation modelling. User experience and expectations are evaluated through an empirical survey. A novel principle component factored inter-store stock transfer model is developed to improve replenishment operations. A total of 11 factors affecting inter-store stock transfer delivery time are analysed. An extended model with principal component factors incorporated is developed for the simulation.FindingsTheCpkvalue of 0.51 shows significant difference between the experienced and expected waiting time. With the inter-store stock transfer optimisation model developed, the model assists traffic personnel on the vehicle route planning with multiple pick-up and drop-off locations. The system also ensures the best routing with a minimal travelling time planned, facilitating a reduction of the inter-store stock transfer time, thus improving the customer waiting time. Four significant factors affecting the delivery time are also identified from exploratory and confirmatory factor analysis. The results are analysed with an extended principal component factored inter-store stock transfer model.Practical implicationsThe developed inter-store stock transfer models minimise stock transfer time, increase customer satisfaction, and reduce loss of sales. An integrated service quality improvement methodology has been developed and applied in reviewing significant factors affecting inter-store stock transfer operations.Originality/valueThis paper presents an analysis on inter-store stock transfer operations of an international retail and proposes enhancements on the operations by integrating Six Sigma, factor analysis, and optimisation modelling. A novel principal component factored inter-store stock transfer model is developed to improve the stock replenishment operations.

scholarly journals Permintaan Daun Pisang pada Produsen Nasi Jinggo di Kota Denpasar

2018 ◽  
pp. 344
Author(s):  
DEFRY SANJAYA GUNAWAN ◽  
I WAYAN WIDYANTARA ◽  
I WAYAN BUDIASA
Keyword(s):  
Sampling Method ◽  
Sampling Technique ◽  
Regression Equation ◽  
Snowball Sampling ◽  
Factors Affecting ◽  
Banana Leaves ◽  
Banana Leaf

The Demand for Banana Leaves by the Jinggo Rice Producers in Denpasar City This study aims to determine the number of banana leaves demand by the jinggo riceproducers in a period of one week, the factors that affect the demand of banana leaves,and to investigate the substitute of banana leaves used by sellers as a jinggo ricewrapper. The research location was in Denpasar City determined by purposivesampling. The population in this research was all of the jinggo rice sellers in DenpasarCity. The sampling technique used snowball sampling method. This research usedtabulation to find out the demand of banana leaves discussed descriptively andqualitatively and by using regression equation which is transformed to analyze theinfluencing factors. The results of this study indicate that the total number of bananaleaves demand by 40 respondents of jinggo rice sellers in Denpasar, within one week isequal to 7,822 folds or as many as 23,466 banana leaf bark. Factors affecting thedemand of banana leaves from the jinggo rice sellers in Denpasar City were the price ofbanana leaves and the amount of production, and there is no substitute for banana leavesused by the 40 jinggo rice sellers in Denpasar City.

scholarly journals FACTORS AFFECTING MICRO SMALL AND MEDIUM ENTERPRISES (MSMEs) REVENUE OF PEOPLE’S BUSINESS CREDIT (KUR) RECEIVERS IN DONGGALA REGENCY

2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Ary Widdodo ◽  
Rustam Abd Rauf ◽  
Lien Damayanti
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Small And Medium Enterprises ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Snowball Sampling ◽  
Factors Affecting ◽  
Medium Enterprises

This research aims to determine the factors affecting micro small and medium enterprises (MSMEs) revenue of people’s business credit (KUR) receivers in Donggala Regency. Factors that allegedly influenced the income of MSMEs of KUR recipients include turnover, length of business, number of manpower and number of KUR.This research was conducted in December 2016 until January 2017 in Donggala Regency. The number of samples used are 43 debtors from Bank Nasional Indonesia (BNI), Bank Rakyat Indonesia (BRI) and Bank Mandiri. The sample is using snowball sampling method, and the data analyzed using Multiple Linear Regression Analysis. Based on the analysis result, it can be concluded that the factors that influence the revenue of MSMEsof KUR receiver are the turnover, the number of labor and the KUR number while the old factor of business does not affect the revenue of MSMEs receiving KUR

The ROLE OF CHINA-PAK ECONOMIC CORRIDOR (CPEC) IN LOGISTIC SYSTEM OF PAKISTAN’S AND CHINA’S

2019 ◽  
Vol 6 (1) ◽  
pp. 48-50
Author(s):  
Ikram Uddin
Keyword(s):  
Persian Gulf ◽  
Lead Time ◽  
Fiber Optic ◽  
Delivery Time ◽  
Fiber Optic Cable ◽  
Total Cost ◽  
Economic Complexity ◽  
Shipping Cost ◽  
The Impact

This study will explain the impact of China-Pak Economic Corridor (CPEC) on logistic system of China and Pakistan. This project is estimated investment of US $90 billion, CPEC project is consists of various sub-projects including energy, road, railway and fiber optic cable but major portion will be spent on energy. This project will start from Kashgar port of china to Gwadar port of Pakistan. Transportation is sub-function of logistic that consists of 44% total cost of logistic system and 20% total cost of production of manufacturing and mainly shipping cost and transit/delivery time are critical for logistic system. According to OEC (The Observing Economic Complexity) currently, china is importing crude oil which 13.4% from Persian Gulf. CPEC will china for lead time that will be reduced from 45 days to 10 days and distance from 2500km to 1300km. This new route will help to china for less transit/deliver time and shipping cost in terms of logistic of china. Pakistan’s transportation will also improve through road, railway and fiber optic cabal projects from Karachi-Peshawar it will have speed 160km per hour and with help of pipeline between Gwadar to Nawabshah gas will be transported from Iran. According to (www.cpec.inf.com) Pakistan logistic industry will grow by US $30.77 billion in the end of 2020.

ANALISIS TATANIAGA TANDAN BUAH SEGAR KELAPA SAWIT DI DESA TEMPAKAN KECAMATAN BATU ENGAU KABUPATEN PASER (Marketing Analysis of Fresh Fruit Bunches of Oil Palm in Tempakan Village, Batu Engau Subregency, Paser Regency)

2019 ◽  
Vol 2 (2) ◽  
pp. 113
Author(s):  
SIMON SUTRADO SIMANJUNTAK ◽  
ACHMAD ZAINI
Keyword(s):  
Oil Palm ◽  
Sampling Method ◽  
Marketing Channel ◽  
Marketing Channels ◽  
Fresh Fruit ◽  
Snowball Sampling ◽  
Level Zero ◽  
Average Share ◽  
Marketing Analysis ◽  
Fresh Fruit Bunches

The purposes of this study were to know marketing channel, marketing margin, share, and marketing profit of fresh fruit bunches of oil palm in Tempakan Village, Batu Engau Subregency, Paser Regency. The study was conducted from June to August 2016. The sampling method was done with two ways as random sampling in farmer level and in marketing channel as snowball sampling. Data analysis were done by calculating marketing margin, share, and marketing profit. The results of this study showed that there are two marketing channels in reserach location are channel of level zero and channel of level one. Marketing margin in farmer level was Rp40.39 kg-1 and margin in whole trader level was Rp314.44 kg-1. The average share of farmer level was 97.58% and in trader level was 81.48%. Margin and share that profitable for farmer is at channel of level zero. The average of profit in whole trader level of fresh fruit bunches was 112.75%, that meant marketing by whole trader is profitable.

Studi Penangkapan Ayam Hutan Merah di Kabupaten Kaur Bengkulu

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Miki Suhadi
Keyword(s):  
Sampling Method ◽  
Local Communities ◽  
Snowball Sampling ◽  
Red Jungle Fowl

The objective of this research was to gather information about capturing techniques used by the local communities in Kaur District. Respondents were chosen by using snowball sampling method. Variables observed were equipment used by respondents, the time and location of capturing red jungle fowl. The result showed that the equipment used by the respondents are food supplies (rice and water), weapons (machetes, knives, matches), and clothing (hats , jackets, trousers, raincoats) and red jungle fowl hooks, nets, racit, sangkek and bags. Most of respondents chose the location of luring jungle fowl in the plantation area. Keywords: catching, equipment, red jungle fowl

scholarly journals Factors Affecting the Lut Desert Tourism in Iran: Developing an Interpretive-Structural Model

2021 ◽  
Vol 13 (13) ◽  
pp. 7245
Author(s):  
Beniamino Murgante ◽  
Mohammad Eskandari Sani ◽  
Sara Pishgahi ◽  
Moslem Zarghamfard ◽  
Fatemeh Kahaki
Keyword(s):  
Sampling Method ◽  
Structural Model ◽  
Tourism Development ◽  
Cost Effective ◽  
Structural Modeling ◽  
Interpretive Structural Modeling ◽  
Factors Affecting ◽  
Purposive Sampling ◽  
Interpretive Structural Model ◽  
Lut Desert

The Lut desert is one of the largest and most attractive deserts in Iran. The value of desert tourism remains unclear for Iran’s economy and has only recently been taken into consideration by the authorities, although its true national and international value remains unclear. This study was aimed at investigating the factors that influence tourism development in the Lut desert. Data collected through the purposive sampling method was analyzed using Interpretive Structural Modeling and the MICMAC Analysis. According to the results, cost-effective travel expenses, security, and safety provided in the desert, together with appropriate media advertising and illustration of the Lut desert (branding) are the leading factors that influence tourism in the Lut desert in Iran. This paper highlighted the importance of desert tourism, especially in this region.

scholarly journals Two methods of assessing the mortality factors affecting the larvae and pupae of Cameraria ohridella in the leaves of Aesculus hippocastanum in Switzerland and Bulgaria

2007 ◽  
Vol 97 (5) ◽  
pp. 445-453 ◽  
Author(s):  
S. Girardoz ◽  
R. Tomov ◽  
R. Eschen ◽  
D.L.J. Quicke ◽  
M. Kenis
Keyword(s):  
Leaf Senescence ◽  
Sampling Method ◽  
Plant Defence ◽  
Leaf Miner ◽  
Mortality Factor ◽  
Horse Chestnut ◽  
Mortality Factors ◽  
Grab Sampling ◽  
Defence Reaction ◽  
Factors Affecting

AbstractThe horse-chestnut leaf miner, Cameraria ohridella, is an invasive alien species defoliating horse-chestnut, a popular ornamental tree in Europe. This paper presents quantitative data on mortality factors affecting larvae and pupae of the leaf miner in Switzerland and Bulgaria, both in urban and forest environments. Two sampling methods were used and compared: a cohort method, consisting of the surveying of pre-selected mines throughout their development, and a grab sampling method, consisting of single sets of leaves collected and dissected at regular intervals. The total mortality per generation varied between 14 and 99%. Mortality was caused by a variety of factors, including parasitism, host feeding, predation by birds and arthropods, plant defence reaction, leaf senescence, intra-specific competition and inter-specific competition with a fungal disease. Significant interactions were found between mortality factors and sampling methods, countries, environments and generation. No mortality factor was dominant throughout the sites, generations and methods tested. Plant defence reactions constituted the main mortality factor for the first two larval stages, whereas predation by birds and arthropods and parasitism were more important in older larvae and pupae. Mortality caused by leaf senescence was often the dominant mortality factor in the last annual generation. The cohort method detected higher mortality rates than the grab sampling method. In particular, mortality by plant defence reaction and leaf senescence were better assessed using the cohort method, which is, therefore, recommended for life table studies on leaf miners.

Reliability Parameters Forecasting for Transmission Lines Based on Principal Component Regression

2013 ◽  
Vol 291-294 ◽  
pp. 2381-2386 ◽  
Author(s):  
Wen Xia Liu ◽  
Ji Kai Xu ◽  
Hong Yuan Jiang ◽  
Yong Tao Shen
Keyword(s):  
Principal Component Analysis ◽  
Transmission Lines ◽  
Principal Component Regression ◽  
Principal Component ◽  
Forecasting Accuracy ◽  
Factors Affecting ◽  
Reliability Parameters ◽  
Impacting Factors ◽  
Simulation Results

It is the foundation for evaluating the reliability of transmission lines to obtain and analyze the original reliability parameters. However, these parameters depend on long- term statistic and calculation. In the case of lacking such parameters in a new project , this paper proposes a method of Principal Component Analysis to obtain the principal component of the impacting factors ,in which various factors affecting reliability parameters are taken into account. Through this method, we can use PCR to obtain the failure rate of the unknown transmission lines on the base of the known credible lines’ rates. The simulation results show that the proposed approach possesses higher forecasting accuracy and provides references for the power system dispatching departments and transmission lines maintenance departments.

Investigation of the nature of the process of delivering a batch of containers from the rear terminal to the port

2021 ◽  
Vol 18 (3) ◽  
pp. 385-392
Author(s):  
Gennadiy M. GROSHEV ◽  
◽  
Alexey G. KOTENKO ◽  
Nadezhda V. KLIMOVA ◽  
Natalia B. FEDOROVA ◽  
...  
Keyword(s):  
Objective Assessment ◽  
Practical Importance ◽  
Process Models ◽  
Delivery Time ◽  
Factors Affecting ◽  
Transport Services ◽  
Factors Influencing ◽  
Simulation Based ◽  
Random Nature ◽  
Technological Model

Objective: Assessment of the need to study the process of delivering a batch of containers from the rear terminal to the port to ensure uninterrupted communication between the rear terminal and the seaport and delivery a batch of containers exactly on time. As a primary task, the problem of analyzing the factors affecting the nature of the delivery process is solved. Methods: The methods of the theory of probability and mathematical statistics were applied in terms of determining the factors that affect the nature of the delivery process. The method of constructing process models was used to create a technological model for the delivery of containers by a block train to the port. Results: A technological model of container delivery by block train is presented. Diagrams were built showing the share of the main deviations from the schedule of container trains by types of operations for traffic, traction, corporate transport services. The main factors influencing the duration of individual operations with container block trains en route and the increase in the delivery time for a batch of containers from rear terminals to the seaport as a whole are identified. The random nature of the duration of the delivery of containers by block trains following the schedule has been established. Practical importance: The need to improve the methodology for choosing a method for delivering containers from the rear terminal to the port using simulation based on the identified factors influencing individual elements of the technological model of container delivery by a block train, deviations from the delivery time of containers, scheduled running of block trains is shown.

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