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inventorize  

Inventory Analytics, Pricing and Markdowns
View on CRAN: Click here


Download and install inventorize package within the R console
Install from CRAN:
install.packages("inventorize")

Install from Github:
library("remotes")
install_github("cran/inventorize")

Install by package version:
library("remotes")
install_version("inventorize", "1.1.1")



Attach the package and use:
library("inventorize")
Maintained by
Haytham Omar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-01-17
Latest Update: 2022-05-31
Description:
Simulate inventory policies with and without forecasting, facilitate inventory analysis calculations such as stock levels and re-order points,pricing and promotions calculations. The package includes calculations of inventory metrics, stock-out calculations and ABC analysis calculations. The package includes revenue management techniques such as Multi-product optimization,logit and polynomial model optimization. The functions are referenced from : 1-Harris, Ford W. (1913). "How many parts to make at once". Factory, The Magazine of Management.
How to cite:
Haytham Omar (2019). inventorize: Inventory Analytics, Pricing and Markdowns. R package version 1.1.1, https://cran.r-project.org/web/packages/inventorize
Previous versions and publish date:
1.0.0 (2019-01-17 18:10), 1.0.1 (2019-02-10 08:13), 1.0.2 (2019-05-19 21:10), 1.0.3 (2020-06-10 23:40), 1.0.4 (2020-06-25 17:10), 1.0.5 (2020-06-26 16:50), 1.0.6 (2020-07-14 11:20), 1.0.8 (2022-03-19 18:50), 1.0.9 (2022-03-26 22:40), 1.1.0 (2022-05-29 14:00)
Other packages that cited inventorize R package
View inventorize citation profile
Other R packages that inventorize depends, imports, suggests or enhances
Functions, R codes and Examples using the inventorize R package
Some associated functions: ABC . CSOE . CriticalRatio . EPN_singleperiod . EPP_singleperiod . EUSnorm_singleperiod . Hibrid_normal . Hibrid_pois . MPN_singleperiod . MPP_singleperiod . Max_policy_dynamic . Multi_Competing_optimization . Periodic_review_normal . Periodic_review_pois . R_s_S . R_s_S_dynamic . TQpractical . TRC . abc_dynamic . dl.sigmadl . elasticity . eoq . eoqsenstivity . hybrid_policy . hybrid_policy_dynamic . inventorize . inventorymetricsCIS . inventorymetricsCSL . inventorymetricsIFR . linear_elasticity . periodic_policy . periodic_policy_dynamic . possible_markdowns . productmix . productmix_storelevel . profit_max . profit_max_withfixedcost . reorderpoint . reorderpoint_leadtime_variability . revenue_max . saftey_stock_normal . safteystock_CIS_normal . safteystock_CSL_normal . safteystock_IFR_normal . sim_base_normal . sim_base_pois . sim_base_stock_policy . sim_min_Q . sim_min_Q_dynamic . sim_min_Q_normal . sim_min_Q_pois . sim_min_max . sim_min_max_dynamic . sim_minmax_normal . sim_minmax_pois . single_product_optimization . total.logistics.cost . 
Some associated R codes: ABC.R . CSOE.R . CriticalRatio.R . EPN_singleperiod.R . EPP_singleperiod.R . EUSnorm_singleperiod.R . Hibrid_normal.R . Hibrid_pois.R . MPN_singleperiod.R . MPP_singleperiod.R . Max_policy_dynamic.R . Multi_Competing_optimization.R . Periodic_review_normal.R . Periodic_review_pois.R . R_s_S.R . R_s_S_dynamic.R . Sim_base_pois.R . Sim_min_Q_pois.R . Sim_min_q_normal.R . Sim_minmax_normal.R . Sim_minmax_pois.R . TQpractical.R . TRC.R . abc_dynamic.R . dl.sigmadl.R . elasticity.R . eoq.R . eoqsenstivity.R . hybrid.R . hybrid_policy_dynamic.R . inventorize.R . inventorymetricsCIS.R . inventorymetricsCSL.R . inventorymetricsIFR.R . linear_elasticity.R . periodic_policy.R . periodic_policy_dynamic.R . possible_markdowns.R . product_mix.R . product_mix_storelevel.R . profit_max.R . profit_max_withfixedcost.R . reorderpoint_ltv.R . reorderpoint_normal.R . revenue_max.R . saftey_stock_normal.R . safteystock_CIS_normal.R . safteystock_CSL_normal.R . safteystock_IFR_normal.R . sim_base_normal.R . sim_base_stock_policy.R . sim_min_Q_dynamic.R . sim_min_max.R . sim_min_max_dynamic.R . sim_min_q.R . single_product_optimization.R . total.logistics.cost.R .  Full inventorize package functions and examples
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