There can be scenarios where an Item is mistakenly assigned to a warehouse but we need to un-assign the item from the warehouse , We have 2 options available for this operation depending on the number of items and the number of warehouses from when there items have to be unassigned.
However note that item un-assignment can only be performed provided no material transactions have been booked for the item.
If the data volume is less users can query the items from Item master and uncheck the check boxes of item assignment to the specific warehouses and then save the changes.
For large data volumes we can have follow the step by step approach as below :
Once the item costs have been cleared we need to group the items into Deletion Groups.
For this an entry needs to be made in the Table :
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAt8AAAG0CAYAAADq0UvAAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAACbjSURBVHhe7d1fyCXpnRfw8+aPKzNgJ8pEpsXG3Mj2sIy5EFkMmUYH7BY2c7E3zi7uZlia2GACKq7MJnubONA0K+xcRJRl0hElXqzQCWy30EjPoITgzY5hevEm2IszmEEnLc7gsnHb+b1dz+TpZ6rOqTp/nqpT9fnAw6mq56k6p97zqzrfrq73vCeXLl978N//0s+vwu//5mdXq5PV6o8frFYfXX1ktfrYR0+X/7+f/PHq4yd/+v2pj60+8uD/rB48+M+ny8PnPvcPVq+99s+auZ/O58tjupT35ePb1g8nJ391dfVbt1fX/1u8jvl5/at/ffX01/5TM7ebfW6rj9rPBwBwjG7//c9Ewv6pk4/9hdWfvB+8/9T7Sz/6kT9Zrd4P3dE+/vH3A/lH/+9q9X7w3lYE6bzxqH2G19pBWPAGAOjnkSvfffyX3/zs2ivfIZaFtLwcM3Q+zP3KNwAA8/ahK9/7UgbnmI9AnVrZDwAAS3B65fv61SvN7Gaf+uTjj1z5riVd+f7CL/S/Sg8AAFNykCvfAADAhwnfAABQifANAACVDA7fP3rn3dP7r2tK93sDAMAxG/wLl0n84mUtKXj7ZUsAAI7Z1uE7+eZ3v9dMHZbgDQDAsds5fAMAAP34hUsAAKhE+AYAgEqEbwAAqET4BgCASoRvAACoRPgGAIBKhG8AAKhE+AYAgEqEbwAAqET4BgCASoRvAACoRPgGAIBKhG8AAKhE+AYAgEqEbwAAqET4BgCASk4uXb724PrVK80sc3f33v1milrOnzvTTAHHzPkTlmufn+XC94LEB8ebb9xp5qjl7FMXBHA4cs6fsGz7/CwXvhckfXhEAT3zF19tlnJIr/7hM6ePwjcct0fOn08/2SwFluDV1986Pf6fvfRcs2Q3wveCpA+P5y+erD733Mur1258qenhkCKAC99w3D44fz7//Gr1zrebpcCxefvk883UMLdv3thb+PYLlwAAUInwDQAAlQjfAABQifANAFuK358BGEL43oNPffLxRxoA2ynPp3mbOkEc6EP43lF8IPzonXcfacfwIQEwRfm5tG0e4NgJ3ztIwbsUywRwgOVIV73Lq98xn1ouH5/3tY0FDufrX3u5sx2K8H0geShPQTwP5DGdWm7dfJpuWw9gCXY5R6blbX27Sn83If/7CRGiYz61MlTn/Sl0d40FDuMrX23/myddy/dB+K4kTvYpkKfp1IZ8EOTrHuIDBOCYdZ0j8+VTOX9GyM6V80AdZdA+ZPAOwvcexck8b7k42e/DvrYDcIzy4ByP5TlxaufIdEXblWyYthS4Dx28g/C9R3HSTw2Aaem6OHJI6TaS1IDpqhG8g/ANwCLkF0jGuEji6jcQhO8dxMm77QpK23+FbqNr2wBLls69befZvufIQ51L84AdV7rz205c+QaC8L2j9CGQt03Bu1wnH5/3tW1nUz/AknWdI/Pl+zx/5oG67daStKxteW7TPDAfwvcexEk8b6WuZevGp+Wb+gHmatvzXNc5Mi3fdrsA+yB8AwBAJcI3AEdj37eNANQmfB+RfX3YvPqHz7ifsJL4WQP7s+62kRqB/NXX32qmgKW4e+9+M7UfJ5cuX3tw/eqVZpa523cBsdn5c2eaKeCYxfnzzTfuNHPAkjx76blmanfCNwAAVCJ8L4wr3yxN3/95cGxwrPzv2u4c/6yz72NM+F4Q/2XKEp196sLGE6djg2PWp8bp5vhnk30fY8L3gqQTTBTRM08/2SyF+Uq/HNc3fDs2ODZR41G7+7wfdWny498/YihFfQThm62kE8zzzz/fLIH5i3DSN3yfHhvvfLtZCnW9ffL5ZmqY2zdvCN87SMe/nyFdokb2Gb591SAAAFQifAMAQCXCNwAAVCJ8A2zwuede/qAdk/x1j/XaD/G8Y+3LsYs/y98mX941ppaxnx9qmEX4joO1bGPY9nnHer3AZhH0XrvxpQ/aFIJfn9dQvu6xXns8767K172PbdKuxp/oh6WbzZXvOGHkbYxA2/ekVb62vusBdaUAmxsrxA7R9rrDMbx2gLmb7W0nYwVwYP7yYFuG2Xw+TXc9hphOLZePzfvy5btq21ZMdz1H6mtbnh67+kLqz1uubXmabluWpHXalqfHsu8YfP1rL3e2Qyk/N2M+tVyaz5fvY2zS1rdpHo7Fou75Tgdz2wG7TV+aLx9DvqxreZJPh7RO2/L0WPYB0xShrwzraT5Np1YGxLw/9cV0/rirrtez7rVs6i/7knz9NJ90bb9tbK5rvSTvL/um7itfbd/nruV9pM+PvHWJvvS/yW0XtFJ/Pr3PsW19MAeLCd/rDvZt+0Lqb5Ovm9ZLY/usk6+XtG0TmK4Ifblyfp0hY7fV9RxDX/eur/VQ+3qo7dZSBu1dgnfIP19S21a+7qbtrOsv+7rGxvL0uZc+C+EYLerKd1/7OEmEQ5wYnGxgXuJqbGpTt6/XGuu3heJ9bX9uUuDeNXhvI0JuapsMGQtL5raT90Wg7eoDKO0zHEYIzdtUpcC86+tM2ynta/tzNUbwDvH5mLcu8dnZZxywsPCdnxjKk0O+XAAHQoTAMmh3hcdQjh1q1/WTttcd1r320rrXsq/X2eXQ22c7fT8bh36GDhmfPqPLz3A4JrMN35sOzvxgH3LgH2osME0pyKZWhte8v2+wTTZte50Yv0657T7bz9cpx67r6yvWTY+pJZu2n4/N5et1rct2UtBNbd1naj52UzAesl2Yo5NLl689uH71SjN7nOLgLbUdzPm4sn+bvvKkkc+n6bRuOS6UY5PUH8rl6+Y3uXvv/urNN+6snn/++WYJzN+rr7+1On/uTDPX7pFj451vN0sRZut6++TzzdQwt2/eWD176blmbv6GfvZtko7/Jf0MGSZqZNPnyBCzuPIdB2HZ2qzr36Zv03zoWi9f1tXftjxXzgPsouvqMgD749tOADjlFg6mLK547/uqN4xB+AbgAxG4U4MpafsfYThGwveBTPkEEffAwhIMrXXHBscm7kVlP/wsaXOIupjFL1zSn5MLS9P3l2Ti2IhfuoJj4xcFd+ezkXX2+cuWQfgGAIBK3HYCAACVCN8AAFCJ204Wxn1tjGnf980BwLERvhfEL5QxtrNPXRDAAVg04XtBUvgWgBhD+l+XY6u97//H/9BMrffEE0+sPv2Xf66ZA6bq3/3bf9VMrfeZz3zGMc1BCN8LksK3r6ViLFGDxxi+/9pn/0Yz1+2H//UHPqjhCET4/uIXv9jMdfv+97/vmOYg/MIlwIF963e+8UGbk3y/8pbL57umt5GeK7Uhdn1uCL/4+YvN1PbWbWMf22eahG+AA4qg9yu/duWDNrfgl+9b2z7G/L6VP9PyOeHQIhj/7nduHTQgx/aZJ+Eb4EBSSMwJirtp+5kGP1fgWAjfAJWV4TFCY2q5NF/27To2pOVlX5pv69tG322k59vHc4a0nU3bLPv29fwsV7oanl8Vj+nU2rT1pfmu5SGtV45h2qqF70998vFmqq543rL1NWTsOvvaTulQ2wXqibAXYTy1tjCY95Xzub5j8+VlX+har030ly3WGyKt0/c5+8q3u69tQgTddEtI160n+Zg0nVo5Pu9v21aXTdtluo76yvem8Bn9P3rn3Q+12qE1njMpn1uABtaJ4Jgr53NDxq4zZL0YW7Zdg25sYx/6bCd/vSmsw64iDHcp+9aNDXmwToGb4+a2EwBGlQJwajBVeQhOLc2PoXwdHIfJhO+4Apxaqa0vTbeN32TolehY1jWu7Ns0dt1jEvOplbqWA8dDwPywCOCp+fkwZXHluWxjmcrrYJhJhO8Ik123hXT1xXT+2CaNT20b+fOX2yj71o0NsXzdY8i3ES3fzqbtA/sXf7ky/oDOptamLUjGfCznp4aE7a5wvsvPNW3T+7IM8Zcr4w/obGqluLrcFXBjed+rz9tcpU7bXxewXf0+HpMI3xEm+xoyNqSwmgLr0NC67vnKvnVj963mc8GSxV+469vapGCXWhnwNvUfwj6fM9/Ottsb+nrK8X3WgaTt2O1q+5CCc2rrAvQQh9ouh1ftz8unq7ZdylCcj837yuXbhNB8vXIb++gLXWP7rFfqu+4m/rw8YzvGPy/PMgjwQC2TvO2klPe1hdMuQ8ZOSb6/0QCA8eVXmssGfU3u207KwFwzQLc919gBvuv5x35dAHPgthWGiFs7uhr0VTV8R2AsW0hXtKOVV3rzvrb+WNalXDe1fBv5mHLbYVP/NmJbuXw+f77yOQ/xWgCWLEK34A3UVO2eb8bnnm/G5p5vAJZucredAADAXAnfAABQifC9QPFf/1CbugMA93wvjgDEmNzvDcDSCd8AAFCJ204AAKAS4RsAACoRvgEAoBLhGwAAKhG+AQCgEuEbAAAq2Vv4/tQnH+9s21i33rbbPJR8X1MbYuh4AACO016vfP/onXdbWx9lAM3XW9e3L7sG4Hx/ox0iUAvpAADHzW0nB3KoAA4AwPGqGr5TGI3HPJjmy5NyWVtfEvOpldb1JamvHNNn3SH6bq9tXJou120bCwDAND3y5+Xv3rt/+rjJ+XNnmqmfWhf+4ipwSGPy+bbpcOi+0qaxQ9ZN8uXrtrfNuLBpPun7vgIAcBgpPz8SvnfRFfxy68Jijb511m0nrNtWV1++fN32thkXNs0DADAts7jnO0JnarkIol19Y+j7WvqOC0PGAgAwrlmE7wjZecvly8cOqPlridal77gwZCwAAOOa3bed5AF7zLAdz70uDPd9bUP2Ycz9BQBgs72G7wh/ba2vdWO7+iLg5s+VB951fW1iTLLNuuvG993epnGxLOm7TQAApmFvv3AJAACsN7vbTgAAYKqEbwAAqET4BgCASoRvAACoRPgGAIBKhG8AAKhE+AYAgEqEbwAAqET4BgCASoRvAACoRPgGAIBKTi5dvvbg+tUrzWx/L71yq5mahxdfuNhMdbt7734zdbzOnzvTTAEAUNvg8J1C96d/9vzp41z88A/unj62hfAUuh/7mY+dPh6z9/7oJ6ePQjgAQH1b3XYyt+AdNu3THIJ3mMt+AAAco0HhO656zzF4J7Fv5e00cdV7boE19mcOt9AAABwbv3AJAACVCN8AAFCJ8A0AAJUI3wAAUMnBwveX//b5D7Uh+o7Pxw19jn34h5d/sbUdWv4cNZ4PAIDdHfTK92//3t1H2iHCcWx3bL/1L3/3Q00gBgCgVPW2k7YAHvOpJWm6XFaOC+V8rmudMaQr4m2hvKtv03xIy/K+mE4NAIDpGPWe7wjFbVfG09Xs9Ng1bp1t1jmUCMFdV8XX9fUR6+SPu24PAIDDOYpfuIzwvKt9bKNLBNyypTA81Lbrddn39gAA2N7o4TuuSKe2Tt9xSbraPWSdbaWrzCnotgXePJjnYmxX3zb2vT0AAPZn9PCdbgtJrU2E501j2uTrHDqAJyn8lmJ53nL58n0F8H1uDwCA/agavlOI7tInIPcN0bXC9jbyQNw3HO97HAAA9Z1cunztwfWrV5rZ9V565dbq0z+7ffhtC975uLw/LU/L8vmYzpe3TYe0TsiXr/PDP7i7evGFi83canX33v3VYz/zsWbuwyLsxhXmUrk8D8Xl+D596Sp26i+nQzkfyu0l7/3RT1bnz51p5gAAqOFg4ftYDQ3fx0r4BgCo7yi+7QQAAOZA+C7Elf24wg8AAPsmfAMAQCXCd4t09dsVcAAA9skvXG4Qv4AJAACl/Es6+hocvrd5EgAAmJt0l8SQfOy2EwAA2MI2F6WFbwAA2FIE8CG/Jyh8AwBAJcI3AABUInwDAEAlwjcAAFQifAMAQCXCNwAAVCJ8AwBAJcI3AABUInwDHKlPffLxR9oYDvG8Y+0LQA3CN8ARioD6o3fefaSNEVrjeXdVvu59bBNgqoRvgCOTgndprAAOQH/CN8BMpSCeB/KYblseUl/b8vTY1RdSf95ybcvTdNuyJK3Ttjw9ln0AUyV8A8xYhNJ0lTxNt10hz/s29Zd9Sb5+mk+6tt82Nte1XpL3l30AUyR8A8xYhNI25fKuccmm/k12Xb/LobYLcCjCNwCn4spxartIV6NL+9o+wDETvgH4IDCntq11wXsf2wc4dsI3wJGJ8Np29bgr+LZpWz9Z17cPh94+wJQJ3wBHKAXwvG0K3vk65dh1fX3FuukxtWTT9vOxuXy9rnUBjonwDXCkIojmrdS1rG15yPvyMeX4rr6YLlsuX5b3lWPz6ZD625bnynmAKRK+ARai6+oyAPUI3wBH4u69+83UduLKsFs4AMYlfAMsSATu1ACoT/gGAIBKhG8AAKhE+AYAgEqEbwAAqET4BgCASoRvAACoRPgGAIBKhG8AAKjkKMK3P4nMLvK/6JfaGLZ93rFeLwyRH19lg7nqqm91zzpHd+VbQbON/K/6RRujjvr+RcHytfVdD8aUH19t8zA3ca6O+t70eTLG580Yz0l/bjthkfqcMAEA9u2owncKS2VoivnUcvn4vK9tLKS6aKuNbfrSfPkY8mVdy5N8OqR12panx7IPxtZVr2FT7ablbX0wZalmy9rtqulyfP5Yjg1ped6XpsvxbWMZx1GF7/Tfl/l/Y0YRxXxqbcWW95XzEPK6KGtj276Q+tvk66b10tg+6+TrJW3bhGPQVbv5cnXNVKS6DOvqMh+TbKrpfNshH5+P7dpOTOePoWss45j9bSd58YVyHoZaV0ND6u0Qtai+maqozfSBn4JATu3CQ32PDcfM8ZpF+I4TeWqwra46ihNcVx9weI4/piTVYVmXQ+qzXHdbQ7YzZCyHNYvwHeEob7CNdXWUL3figrry4y8ajK2syaF1ucu6SXwWDdlGPrbPeA5ndredCEb0kU5aXfI6GlJThxoLcxDHXNex1/d4cNwwpq76Dam+h9pHTQ/dhuNoXEcZvvOiScWeWtdBwbLlNdJWJ+vqaNu+TfJ1y/ViWZtdng+mrOt4UPPMQdRusq+azrfTto1YnuzrOdmPk0uXrz24fvVKM7veS6/cWr34wsVmDtiWkx/buHvv/ur8uTPN3HFqq33HA3DshmTk2X/bCQAATIXwDcDB+e9ugIcmddtJ/JcqDJH/F7z6YQ7K20qmUteONZYi1bo6n5Zdbrlrey932V6bIRm5Wvi+ffPG6uxTF5q5R8UPIH4wb75xp1kC/URNqR/mJNV0EufOKXCssRQpq6jzaSnPjX2k0P3M00+ePuZeff2t08eh2+wyyfCdfgAX/sq/Pn0Md37/l5uph6LQ44fb9kOCUn7gpECwzcEJU5HOk3kNpwsXY9Z1/roca8xZXutTOPZ4qO3cuEmsk/Lk2z9+7/Qx98QnHjt9jCyxj/d4SEaues93HrxDOR8Eb/pqqxUnSY5ZV/2OXddtz+9YY47Kulbn0zD0fUjBO0J3W/AOqS/GpXBfi1+4BABgkbrC+SEJ3wAAzEJ+1buvuLJe8+q38A0AwOx9/WsvN1PjEr4BAJi1FLynEMCFbwAAZqsM3GMHcOEbAIBZ6graYwZw4RsAgFn6yle/1NnGInwDAEAlwjcAAFQifAMAQCXCNwAAsxF/YCd+oXJIq0n4BgBgNp74xGOr37r6T3q32r98KXwDADArcfW7b6tN+AYAgEqEbwAAqET4BgCASoRvAACopGr4vvP7v9xMPVTOh1dff6uZgvXaauXuvfvNFByfrvodu67bnt+xxhyVda3Op2Fu78PJpcvXHly/eqWZXe+lV26tXnzhYjM3TNcP7vy5M6d96RGGiLpJ1A9zkNd0mEpdO9ZYilTr6nxaynNjl3jfnnn6ycHfYhLr9X2ONkMycrXwHboKeZedBQCAIHwP1BXOoUt+oKgf5qA8+U+lrh1rLEWqdXU+LX2Dcbxvwnfj9s0bq7NPXWjmHhU7Gzv95ht3miXQT9SU+mFOUk0nce6cAscaS5GyijqflvLc2EX4zsROhXzH0rIkCr3vDxfymopp9cOxaztPpgsXY9a1Y42lyGt9CsceD7WdG7vE2KmH76rfdlLuVNtOKnL6Uj/MTVf9jl3XjjWWoqxrdT4Nc3sffM83AABUInwDAEAlwjcAAFQifAMAQCXCNwAAVCJ8AwBAJcI3AABUInwDAEAlwjcAAFQifAMAQCXCNwAAVCJ8AwBAJcI3AABUInwDAEAlwjcAAFQifAMAQCXCNwAAVFI1fN+9d7+ZeqicD23LoI36YW666nfsunassRRlXavzaZjb+3By6fK1B9evXmlm13vplVurF1+42MwN0/WDO3/uzGlfeoQhom4S9cMc5DUdplLXjjWWItW6Op+W8tzYJd63Z55+cvX2j99rlvQT6/V9jjZDMnK18B26CnmXnQUAgCB8D9QVzqFLfqCoH+agPPlPpa4dayxFqnV1Pi19g3G8b8J34/bNG6uzT11o5h4VOxs7/eYbd5ol0E/UlPphTlJNJ3HunALHGkuRsoo6n5by3NhF+M7EToV8x9KyJAq97w8X8pqKafXDsWs7T6YLF2PWtWONpchrfQrHHg+1nRu7xNiph++q33ZS7lTbTipy+lI/zE1X/Y5d1441lqKsa3U+DXN7H3zPNwAAVCJ8AwBAJcI3AABUInwDAEAlwjcAAFQifAMAQCXCNwAAVCJ8AwBAJcI3AABUInwDAEAlwjcAAFQifAMAsBhPfOKx0zYW4RsAgEV5+8fvrb753e81c3UJ3wAALEYK3l/4hZ9vltQlfAMAsChjBe8gfAMAMEtj39/dRvgGAGC2xry/u03V8H333v1m6qFyPrQtgzbqh7npqt+x69qxxlKUda3Op2GX92Hs+7vbnFy6fO3B9atXmtn1Xnrl1urFFy42c8N0/eDOnztz2pceYYiom0T9MAd5TYep1LVjjaVIta7Op6U8N3aJ9+2Zp588Dd1DxHp9n6PNkIxcLXyHrkLeZWcBACD0Cd/pHvB8zGzD9yZd4Ry65AeK+mEOypP/VOrascZSpFpX59PSNxjH+9YnfJe3o8R6fZ+jzSTD9+2bN1Znn7rQzD0qdjZ2+s037jRLoJ+oKfXDnKSaTuLcOQWONZYiZRV1Pi3lubFLn/AdyvvAZxm+Y6dCvmNpWRKF3veHC3lNxbT64di1nSfThYsx69qxxlLktT6FY4+H2s6NXWLs1O/5rvptJ+VOte2kIqcv9cPcdNXv2HXtWGMpyrpW59Owy/vge74BAKCidH/3VAjfAADMUvmLlVMgfAMAMFtTCt5B+AYAYDHGvg9c+AYAYFHGvA9c+AYAYDHGvg9c+AYAYFHGvA9c+AYAYJZ8zzcAAFTke74BAKAC3/MNAAAV+Z5vAAAYie/5BgCAinzPNwAAVOB7vgEAoCLf8w0AAHvme74BAKCiRX/P991795uph8r50LYM2qgf5qarfseua8caS1HWtTqfhl3ehyl+z/fJpcvXHly/eqWZXe+lV26tXnzhYjM3TNcP7vy5M6d96RGGiLpJ1A9zkNd0mEpdO9ZYilTr6nxaynNjl3jfnnn6ydPQPUSs1/c52gzJyNXCd+gq5F12FgAAQp/wne4Bz8fMNnxv0hXOoUt+oKgf5qA8+U+lrh1rLEWqdXU+LX2DcbxvfcJ3eTtKrNf3OdpMMnzfvnljdfapC83co2JnY6fffONOswT6iZpSP8xJqukkzp1T4FhjKVJWUefTUp4bu/QJ36G8D3yW4Tt2KuQ7lpYlUeh9f7iQ11RMqx+OXdt5Ml24GLOuHWssRV7rUzj2eKjt3Nglxk79nu+q33ZS7lTbTipy+lI/zE1X/Y5d1441lqKsa3U+DXN7H3zPNwAAVCJ8AwBAJcI3AABUInwDAEAlwjcAAFQifAMAQCXCNwAAVCJ8AwBAJcI3AABUInwDAEAlwjcAAFQifAMAQCXCNwAAVCJ8AwBAJcI3AABUInwDAEAlwjcAAFRSNXzfvXe/mXqonA9ty6CN+mFuuup37Lp2rLEUZV2r82mY2/twcunytQfXr15pZtd76ZVbqxdfuNjMDdP1gzt/7sxpX3qEIaJuEvXDHOQ1HaZS1441liLVujqflvLc2CXet2eefnL19o/fa5b0E+v1fY42QzJytfAdugp5l50FAIAgfA/UFc6hS36gqB/moDz5T6WuHWssRap1dT4tfYNxvG/Cd+P2zRurs09daOYeFTsbO/3mG3eaJdBP1JT6YU5STSdx7pwCxxpLkbKKOp+W8tzYRfjOxE6FfMfSsiQKve8PF/Kaimn1w7FrO0+mCxdj1rVjjaXIa30Kxx4PtZ0bu8TYqYfvqt92Uu5U204qcvpSP8xNV/2OXdeONZairGt1Pg1zex98zzcAAFQifAMAQCXCNwAAVCJ8AwBAJcI3AABUInwDAEAlwjcAAFQifAMAQCXCNwAAVCJ8AwBAJcI3AABUInwDAEAlwjcAAFQifAMAQCXCNwAAVCJ8AwBAJcI3AABUUjV83713v5l6qJwPbcugjfphbrrqd+y6dqyxFGVdq/NpmNv7cHLp8rUH169eaWbXe+mVW6sXX7jYzA3T9YM7f+7MaV96hCGibhL1wxzkNR2mUteONZYi1bo6n5by3Ngl3rdnnn5y9faP32uW9BPr9X2ONkMycrXwHboKeZedBQCAIHwP1BXOoUt+oKgf5qA8+U+lrh1rLEWqdXU+LX2Dcbxvwnfj9s0bq7NPXWjmHhU7Gzv95ht3miXQT9SU+mFOUk0nce6cAscaS5GyijqflvLc2EX4zsROhXzH0rIkCr3vDxfymopp9cOxaztPpgsXY9a1Y42lyGt9CsceD7WdG7vE2KmH76rfdlLuVNtOKnL6Uj/MTVf9jl3XjjWWoqxrdT4Nc3sffM83AABUInwDAEAlwjcAAFQifAMAQCXCNwAAsxHfdPLN735vUKtJ+AYAYDae+MRjq3/8d//moFaT8A0AwKzE1e8hrSbhGwAAKhG+AQCgEuEbAAAqEb4BAJilr3/t5c42FuEbAIBZ+spXv9RMPapreQ3CNwAAs1UG7TGDdxC+AQCYtRS4xw7eQfgGAGD2phC8g/ANAMAsnD93ZvXq62+d/pXLvu7eu3+6Xi3CNwAAVFI1fMe/LHLlfGhbBm3UD3PTVb9j17VjjaUo61qdT8PQ92HI1e/Yds2r3uHk0uVrD65fvdLMrvfSK7dWL75wsZkbpusHFzucdlyRM1R+wKgf5qD8EJhKXTvWWIpU6+p8WspzYx/pPWxbd13fNoZk5GrhO3QV8r52HAAAcm35c9/Zc0hGrnrbSexoWwMAgEOYWvb0C5cAAFCJ8A0AAJUI3wAAUInwDQAAlQjfAABQifANAACVCN8AAFCJ8A0AAJUI3wAAUInwDQAAlQjfAABQyaDw/eILF1cvvXKrmQMAgGWLbBwZua+trnwL4AAALN02mfjk0uVrD65fvdLM9ieAAwCwZEOueCdbh28AAGAYv3AJAACVCN8AAFCJ8A0AAJUI3wAAUInwDQAAlfi2EwBgUn7117/RTME07DMrC9+wR7dv3mimmIpnLz3XTC2LWmRKhhyHEbwjl6hhpuSbt988fdxHZha+YQ/Sh8TPfe7zp49Mxw9e+87p41JCuFpkav7X//zfp4/nz505fdwkwvcXnj17Oq2OmYr0WRIhfNfc7J5v2FGEnfiA8CExTem9WcJVNLXIFP3ZP/dnmqlh1DFTks6t8Q/DXW+LEr5hBynsMH3xPs05gKtFgMPbRwAXvoHFOPvUhWYKALaz62eJ8A1bcqXx+MR/f9+9d7+Zmw+1CFBPfJb8xpd/aeur38I3AABUInwDAEAlvmoQtjD1/+b/99/+583Uh/2tv/P3mqnliq8+6/u1Z1M3p1tO2up2SL3G+rXqu3ytjqv1hhxz6asGj7mu8/ooa+MQdbrNNtXw7qKu/+lv/5vBXz3oyjfM1K/82pXW9ucfP2lGwPSU9VoGhE361PfQbZZS0NnldTJfZX201cYhzsNDtqmGxyV8w4z9j3cftDaYsrxWIyAcIhRsG35SaIn1a7xOjktbfUytNtTw+IRvWKh0ku16DDGdWm7IWNiHPCz3rbW2cWn6W7/z6LcUtI3tkkJLKQWakLaTb6/rOdbNp+m29ZimtvrIayPpek/T8qF9uU39anhcwjfMVISLdLLLWy7my5Ntmk/TXf8lOWQs7EvfWusaF8tCLCvrftM2+8gDTdpun2MkvZYkn8/X3eW1Ma68NuL83PaerquTdX25NK6sqb7U8OEJ3zBT6QRZtvyEmObTybacT9P5fLJu7C4nfthkXV3mNo1Ly0PfbZYiSOQtN+R4WqdtOxy3de9pWr6pr+08GzWYlqf1N1HD9QnfMGPpJFm23Kb5ddLYONnnV9rDkO3AEGWtdek7LgwZm0tX86KFMlTs6zhwPM1P13s6pBbzbcR6IQ+5fajh+oRvYC/yE/jQAANDpDpLrUvfcWHI2FKECsGCdYacE7etxTQ+hfAh1HBdwjews/TBkp/Al/7fiuxH1Fb8w66Uai2CxrrQ0Hdc6DM2/S9Pqet1DtUW0rYJU4yjrT5SbQw5J/apxbZaSWPXPZcaHp8/sgNbmMMf2YkxcZUknazL+ZBvJ314RP+QsVPkj+xMU15DSVst9a3LdePSsqRrbJd8fCjXKV9LWPcc+WvK103TKbz0eW1TtPQ/srOuNtrmk646CXlf2zaif518W2HT6wxdzx9SXyzP103Tx17Dbbb9IzvCN2zhGAJPnNy6pJNeeQJsOyHm29l27NQI39OV11DSVkt963LduNBnbJd8fCjXKV9LWPcc+WtK6+YhJu8/NksL32HTe50va5tP2tZNNm2jXLeUbyu0PVff5w+pL5andedSw22Eb6js2ENPfpViSeYUvJO5BPBUk22WVqdJHlyO2VLCtxr+sLnUcGnb4B2Eb9jSHALP3K5C9CF8T1t+Va20pDpNhO/jo4YfJXx/mF+4hAWLk+ESPwyYrlSTbW2Jlnq19Ji11W5qS6SGP0z4hi09e+m51Q9e+04zxzGY41XvoBbnbamhjfmYWw3vctU7CN+wg7NPXWimYFxqEeA4CN+wg7iKGv8CZvrmetU7UYsAh7frVe8gfMOOUugRfKYpvTdzDt6JWmSKtq1HdcyUpHPrrsE7+LYT2KO79+43U0zFEkJ3G7XIlAw5DuPbTsJvfPmXTh9hCiJ0h31kZuEbAJiUFMBhKvaZlYVvAACoxD3fAABQifANAACVCN8AAFCJ8A0AAJUI3wAAUInwDQAAlQjfAABQifANAACVCN8AAFCJ8A0AAJUI3wAAUInwDQAAlQjfAABQifANAACVCN8AAFCJ8A0AAJUI3wAAUMlHfu9f/KPVr/76N5pZAADgEG7fvLH6/0tI6YjIFi5TAAAAAElFTkSuQmCC)
However note that item un-assignment can only be performed provided no material transactions have been booked for the item.
If the data volume is less users can query the items from Item master and uncheck the check boxes of item assignment to the specific warehouses and then save the changes.
For large data volumes we can have follow the step by step approach as below :
- Delete Item Costs --> Any cost for the item needs to be deleted. This can be achieved by running DELETE scripts on the tables :
- cst_item_costs
- cst_item_cost_details
- CST_COST_UPDATES
- CST_STANDARD_COSTS
For this an entry needs to be made in the Table :
- BOM_DELETE_GROUPS --> 1 Entry is made for each Organization (warehouse) from which the item has to be un-assigned
- BOM_DELETE_ENTITIES --> Entry for individual item is made
No comments:
Post a Comment