Open AccessEfficiency Distribution Analysis with Data Envelopment Analysis (DEA) Approach Fertilizer
Author(s) -
Titiek Koesdijati,
Andarmadi Jati Abdhi Wasesa
Publication year - 2021
Publication title -
tibuana
Language(s) - English
Resource type - Journals
eISSN - 2622-2035
pISSN - 2622-2027
DOI - 10.36456/tibuana.4.02.4010.91-98
Subject(s) - data envelopment analysis , function (biology) , value (mathematics) , returns to scale , scale (ratio) , efficiency , distribution (mathematics) , computer science , production (economics) , field (mathematics) , mathematical optimization , operations research , mathematics , statistics , economics , microeconomics , mathematical analysis , physics , quantum mechanics , evolutionary biology , estimator , pure mathematics , biology
Distribution channels have an important meaning for achieving company success in the field of marketing so that company management is required to always be responsive and able to adapt to environmental changes. Input and output data processing is done by giving weights to the input and output using the DEA CCR primal model by maximizing the input-oriented-based objective function. The results of processing the efficiency scale show the relative efficiency level of the scale of each DMU in the company. The efficiency scale is obtained through the formulation of the DEA CCR primal model between each DMU input and output. If the DMU gets an input and output efficiency value of less than 100%, then the DMU is said to be relatively inefficient. Meanwhile, if the efficient value is equal to 100%, then the DMU is said to be relatively efficient. Of the 5 distribution cities, Sidoarjo, PaluKendari, Bandung and Lamongan which were analyzed, there were 2 cities that were inefficient or experiencing waste in their input and output variables, so the company needed to reorganize the level of use of inputs and outputs it achieved and utilize them optimally to get output that is optimal. targeted.